[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the further rollouts planned by Nvidia in the coming quarters?
### Assistant: According to the text, the further rollouts planned by Nvidia in the coming quarters are not specifically mentioned.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How is generative AI being utilized by Nvidia-powered workstations?
### Assistant: Generative AI is being utilized by Nvidia-powered workstations to elevate the creativity and productivity of creators and designers. The collaboration between Nvidia and Microsoft has transformed Windows into the ideal platform for harnessing generative AI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What collaboration has Nvidia made with Microsoft to transform Windows?
### Assistant: Nvidia has collaborated with Microsoft to transform Windows into the ideal platform for creators and designers utilizing generative AI. This collaboration allows users to harness the power of Nvidia-powered workstations to enhance their creativity and productivity.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the applications included in the Nvidia Omniverse Cloud and Fully Managed Service?
### Assistant: The applications included in the Nvidia Omniverse Cloud and Fully Managed Service are the full suite of Omniverse applications and the Nvidia OVX infrastructure. These applications enable customers to design, develop, deploy, and manage industrial metaverse applications.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: When will the Nvidia Omniverse Cloud be available?
### Assistant: The Nvidia Omniverse Cloud will be available starting in the second half of this year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How is Omniverse Cloud being used by companies in various industries?
### Assistant: Omniverse Cloud is being used by companies in various industries to digitize workflows, ranging from design and engineering to smart factories and 3D content generation for marketing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which companies in the automotive industry have adopted Omniverse?
### Assistant: Companies in the automotive industry that have adopted Omniverse include BMW Group, Geely Lotus, General Motors, and Jaguar Land Rover.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How much was the revenue for the automotive sector in the previous year?
### Assistant: The revenue for the automotive sector in the previous year was 296 million, up 1% sequentially and up 114% from a year ago.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the value of Nvidia's automotive design win pipeline?
### Assistant: The value of Nvidia's automotive design win pipeline is stated as being down at 14 billion, up from $11 billion a year ago, giving visibility into continued growth over the coming years.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How has the growth in the automotive sector been affected by lower-than-expected demand growth in China?
### Assistant: The growth in the automotive sector has been affected by lower-than-expected demand growth in China, resulting in some customers adjusting their production schedules. This dynamic is expected to linger for the rest of the calendar year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which company has Nvidia expanded its partnership with in the automotive sector?
### Assistant: Nvidia has expanded its partnership with BYD, the world's leading manufacturer of NAVs (New Energy Vehicles), in the automotive sector.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What vehicles will BYD use the Nvidia DRIVE Orin in?
### Assistant: BYD will use the Nvidia DRIVE Orin in its next-generation, high-volume Dynasty and Ocean series of vehicles, which are set to start production in calendar 2024.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What were the GAAP and non-GAAP gross margins for Nvidia?
### Assistant: The GAAP gross margin for Nvidia was 64.6%, and the non-GAAP gross margin was 66.8%.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How have gross margins recovered for Nvidia?
### Assistant: Gross margins have largely recovered to prior peak levels for Nvidia as they have absorbed higher costs and offset them by innovating and delivering higher-valued products. Additionally, they have incorporated more and more software into their products.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How have operating expenses changed for Nvidia?
### Assistant: Sequentially, GAAP operating expenses for Nvidia were down 3%, and non-GAAP operating expenses were down 1%. Over the past four quarters, Nvidia has held operating expenses at roughly the same level while working through the inventory corrections in gaming and professional visualization.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How much did Nvidia return to shareholders in cash dividends?
### Assistant: Nvidia returned 99 million to shareholders in the form of cash dividends.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How much is remaining under Nvidia's share repurchase authorization?
### Assistant: At the end of Q1, Nvidia had approximately 7 billion remaining under its share repurchase authorization through December 2023.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the expected total revenue for the second quarter of fiscal '24?
### Assistant: The expected total revenue for the second quarter of fiscal '24 is 11 billion, plus or minus 2%.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is driving the expected sequential growth in the data center sector?
### Assistant: The expected sequential growth in the data center sector is largely driven by the steep increase in demand related to generative AI and large language models.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How has Nvidia procured higher supply for the second half of the year?
### Assistant: Nvidia has procured substantially higher supply for the second half of the year to meet the increased demand related to generative AI and large language models in the data center sector.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the expected GAAP and non-GAAP gross margins for the second quarter?
### Assistant: The expected GAAP gross margin for the second quarter is 68.6%, and the expected non-GAAP gross margin is 70%, plus or minus 50 basis points.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the expected GAAP and non-GAAP operating expenses for the second quarter?
### Assistant: The expected GAAP operating expenses for the second quarter are approximately 2.71 billion, and the expected non-GAAP operating expenses are approximately 1.9 billion.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the expected GAAP and non-GAAP other income and expenses for the second quarter?
### Assistant: The expected GAAP and non-GAAP other income and expenses for the second quarter are an income of approximately 90 million, excluding gains and losses from nonaffiliated investments.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the expected GAAP and non-GAAP tax rates for the second quarter?
### Assistant: The expected GAAP and non-GAAP tax rates for the second quarter are 14%, plus or minus 1%, excluding any discrete items.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What upcoming events will Nvidia be attending or participating in?
### Assistant: The upcoming events that Nvidia will be attending or participating in include the COMPUTEX keynote address in Taipei, the BofA Global Technology Conference in San Francisco, the Rosenblatt Virtual Technology Summit on the Age of AI, and the New Street Future of Transportation Virtual Conference.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: When is Nvidia's second quarter of fiscal '24 scheduled to be announced?
### Assistant: Nvidia's second quarter of fiscal '24 is scheduled to be announced on Wednesday, August 23rd.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the operator mentioned in the text?
### Assistant: The operator mentioned in the text is not specified.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How many questions are participants asked to limit themselves to?
### Assistant: Participants are asked to limit themselves to one question.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the first person to ask a question?
### Assistant: The first person to ask a question is Toshiya Hari with Goldman Sachs.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which company is Toshiya Hari from?
### Assistant: Toshiya Hari is from Goldman Sachs.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the key driver of revenue increase in the data center for Nvidia?
### Assistant: The key driver of revenue increase in the data center for Nvidia is their generative AI, large language models.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which architectures are driving growth for Nvidia?
### Assistant: Both of Nvidia's architectures, Hopper and Ampere, are driving growth.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the role of deep recommendators in Nvidia's growth?
### Assistant: Deep recommendators play a role in driving growth for Nvidia.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which areas of business does Nvidia expect to see growth in?
### Assistant: Nvidia expects to see growth in both their computing and networking business.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What has Nvidia procured for the second half of the year?
### Assistant: Nvidia has procured a substantial amount of supply for the second half of the year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who are Nvidia's significant customers?
### Assistant: Nvidia's significant customers include enterprises, CSPs (Cloud Service Providers), and large consumer internet companies.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How far does Nvidia's visibility extend for data center demand?
### Assistant: Nvidia's visibility extends a few quarters for data center demand.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the second person to ask a question?
### Assistant: The second person to ask a question is not specified.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which company is C.J. Muse from?
### Assistant: C.J. Muse is from Evercore ISI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How is Nvidia managing their commitments with TSMC and other partners?
### Assistant: Nvidia is managing their commitments with TSMC and other partners by considering lead times and matching supply and demand in the coming years.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What technology helped Nvidia transition to a product and service based on a chatbot?
### Assistant: The technology of large language models, specifically the ChatGPT moment, helped Nvidia transition to a product and service based on a chatbot.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the components of the integration mentioned by Jensen Huang?
### Assistant: The integration mentioned by Jensen Huang includes guardrails, alignment systems with reinforcement learning from human feedback, knowledge vector databases for proprietary knowledge, and connection to search.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of the ChatGPT moment mentioned by Jensen Huang?
### Assistant: The ChatGPT moment mentioned by Jensen Huang is significant because it helped crystallize the transition from large language models to a product and service based on a chatbot.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the comparison made by Jensen Huang regarding the ChatGPT moment?
### Assistant: Jensen Huang refers to the ChatGPT moment as the "iPhone moment" because it brought together all the necessary technology for the transition and realization of an amazing product.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the role of reinforcement learning in Nvidia's product and service?
### Assistant: Reinforcement learning plays a role in the integration of guardrails and alignment systems for Nvidia's product and service.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of the iPhone moment mentioned by Jensen Huang?
### Assistant: The iPhone moment mentioned by Jensen Huang is significant because it represents the moment when all the necessary technology came together to enable the realization of an amazing product and service.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the overall outlook for Nvidia's second quarter results?
### Assistant: The overall outlook for Nvidia's second quarter results is strong, with strong results and an incredible outlook mentioned by Toshiya Hari.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's revenue growth compare between Q1 and Q2?
### Assistant: The revenue growth for Nvidia between Q1 and Q2 is expected to be driven by the vast majority of the sequential increase in revenue coming from the data center.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the demand for Nvidia's architectures across different customers?
### Assistant: Nvidia's architectures have demand across a wide range of different customers, including consumer Internet companies, CSPs, enterprises, and AI start-ups.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's supply chain support sequential growth beyond the July quarter?
### Assistant: Nvidia's supply chain has procured a substantial amount of supply to support sequential growth beyond the July quarter, addressing the significant customer demand they see.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What components are included in Nvidia's supercomputers?
### Assistant: The components included in Nvidia's supercomputers are GPUs, system boards with 35,000 other components, networking equipment (such as fiber optics, transceivers, SmartNICs, and switches), and other necessary components to stand up a data center.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How long has Nvidia been working on accelerated computing?
### Assistant: Nvidia has been working on accelerated computing for 15 years.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What triggered a killer app for Nvidia's computing platform?
### Assistant: The killer app for Nvidia's computing platform was triggered by the introduction of generative AI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the current state of data centers in terms of CPU usage?
### Assistant: The current state of data centers is that they are mostly populated by CPUs and unaccelerated infrastructure.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How will the budget of data centers shift in the future?
### Assistant: In the future, the budget of data centers will shift dramatically towards accelerated computing due to the energy efficiency and effectiveness of accelerated computing in handling the primary workload of generative AI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the predicted transition for data centers over the next 10 years?
### Assistant: Over the next 10 years, there will be a transition to recycle or reclaim the world's data centers and build them out as accelerated computing centers, resulting in a significant shift in spending towards accelerated computing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What types of products are included in Nvidia's accelerated computing solution?
### Assistant: Nvidia's accelerated computing solution includes GPUs, SmartNICs, smart switches, and other related products.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does generative AI impact the workload of data centers?
### Assistant: Generative AI significantly impacts the workload of data centers, as it is predicted to become the predominant workload in data centers with accelerated computing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the current demand environment for Nvidia's data center sales?
### Assistant: The demand environment for Nvidia's data center sales is currently strong.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Will data center sales continue to grow sequentially in Q3 and Q4?
### Assistant: Based on the information provided, it is expected that data center sales will continue to grow sequentially in Q3 and Q4.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does the strong demand environment affect the competitive landscape?
### Assistant: The strong demand environment is likely to invite more competition in terms of custom ASICs and other GPU solutions.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Will there be more competition in terms of custom ASICs?
### Assistant: There may be more competition in terms of custom ASICs in the future.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Will there be more competition in terms of other GPU solutions?
### Assistant: There may be more competition in terms of other GPU solutions in the future.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia expect the competitive landscape to change over the next two to three years?
### Assistant: Nvidia expects the competitive landscape to change over the next two to three years with increased competition in custom ASICs, GPU solutions, and other related products.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's supply chain flow impact their production capabilities?
### Assistant: Nvidia's supply chain flow impacts their production capabilities by ensuring the availability of necessary components and equipment for building supercomputers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How significant is Nvidia's supply chain in relation to their production?
### Assistant: Nvidia's supply chain is significant in relation to their production, as it involves multiple components and equipment required for building supercomputers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia stand up a data center?
### Assistant: Nvidia stands up a data center by bringing together all the necessary components, including GPUs, system boards, networking equipment, and other related components.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia plan to increase their procurement for the second half of the year?
### Assistant: Nvidia plans to increase their procurement substantially for the second half of the year to meet the higher demand for their products.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of accelerated computing in the world's data centers?
### Assistant: Accelerated computing holds significant importance in the world's data centers as it can reduce energy consumption and cost by an order of magnitude when applied to a large number of application domains.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How can accelerated computing reduce energy consumption and cost for data centers?
### Assistant: Accelerated computing can reduce energy consumption and cost for data centers by making the computing process more efficient and effective, resulting in reduced power usage and operational expenses.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How much money does it cost to implement accelerated computing in data centers?
### Assistant: Implementing accelerated computing in data centers can be costly as it requires investments in software development, system building, and other related expenses.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the current state of the world's data centers in terms of infrastructure?
### Assistant: The current state of the world's data centers is that they are predominantly based on CPUs and unaccelerated infrastructure.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How will the budget of data centers shift towards accelerated computing?
### Assistant: The budget of data centers will shift towards accelerated computing in the future due to the energy efficiency and effectiveness of accelerated computing in handling the primary workload of generative AI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What types of orders is Nvidia receiving to retool the world's data centers?
### Assistant: Nvidia is receiving orders to retool the world's data centers with accelerated computing solutions.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What will be the predominant workload in data centers with accelerated computing?
### Assistant: The predominant workload in data centers with accelerated computing is predicted to be generative AI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is Nvidia planning on seeing in the second half of the year?
### Assistant: Nvidia is planning on seeing a substantial increase in the second half of the year compared to the first half.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the President and Chief Executive Officer of Nvidia?
### Assistant: Jensen Huang is the President and Chief Executive Officer of Nvidia.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What types of competition does Nvidia face?
### Assistant: Nvidia faces competition from various sources, including well-funded and innovative start-ups, existing semiconductor companies, and CSPs with internal projects.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is Nvidia's value proposition?
### Assistant: Nvidia's value proposition is that they are the lowest cost solution and the lowest total cost of ownership (TCO) solution.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the hardest computing challenge according to Nvidia?
### Assistant: According to Nvidia, the hardest computing challenge is accelerated computing, which requires engineering software, libraries, algorithms, and frameworks optimized for the architecture of an entire data center.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How many acceleration libraries does Nvidia have?
### Assistant: Nvidia has 400 acceleration libraries.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is generative AI?
### Assistant: Generative AI is a large-scale problem that involves thinking of the computer as the data center or the data center as the computer.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's architecture contribute to high utilization?
### Assistant: Nvidia's architecture contributes to high utilization by providing a versatile architecture that can accelerate a wide range of applications, thus keeping utilization high.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How many data centers has Nvidia built?
### Assistant: Nvidia has built five data centers of its own and has helped companies all over the world build data centers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How long does it typically take for Nvidia to deliver and deploy a data center?
### Assistant: Nvidia's delivery to operations of a data center is measured in weeks, compared to industry standards that can take months or even a year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is Nvidia's expertise in data centers and supercomputers?
### Assistant: Nvidia's expertise in data centers and supercomputers lies in their ability to deliver and deploy them quickly and efficiently, with a team that has extensive experience in integrating their architecture into various cloud environments.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What does Nvidia's technology translate into?
### Assistant: Nvidia's technology translates into infrastructure that provides the highest throughput and the lowest possible cost.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the market like for Nvidia?
### Assistant: The market for Nvidia is very competitive and large, but the challenge is also great.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the analyst from Wells Fargo Securities asking a question?
### Assistant: The analyst from Wells Fargo Securities asking a question is Aaron Rakers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the analyst's opinion on Nvidia's quarter?
### Assistant: The analyst congratulates Nvidia on its quarter.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the analyst's affiliation?
### Assistant: The analyst is affiliated with Wells Fargo Securities.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia compare to its competitors in terms of cost?
### Assistant: Nvidia's value proposition includes being the lowest cost solution, suggesting that they are competitive in terms of cost compared to their competitors.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of accelerated computing being a full stack challenge?
### Assistant: Accelerated computing being a full stack challenge means that it requires optimizing software, libraries, algorithms, and frameworks across the entire stack, from the chip level to the data center architecture.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia optimize its frameworks for data center architecture?
### Assistant: Nvidia optimizes its frameworks for data center architecture by understanding the full stack and data center scale, as well as integrating and optimizing them for the architecture of the networking gear, switches, and computing systems.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the role of networking gear and switches in Nvidia's data center operations?
### Assistant: Networking gear and switches play a role in Nvidia's data center operations by being part of the architecture that needs to be understood and optimized for high-performance computing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's universal GPU contribute to high utilization?
### Assistant: Nvidia's universal GPU contributes to high utilization by accelerating a wide range of stacks and applications, thus maximizing the utilization of the data center.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia assist companies in building data centers?
### Assistant: Nvidia assists companies in building data centers by leveraging their expertise and experience in building their own data centers and helping other companies integrate their architecture into cloud environments.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia measure the time to operations of a data center?
### Assistant: Nvidia measures the time to operations of a data center from the moment of delivery to the standing up and deployment, and they are able to do it in weeks.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's delivery to operations compare to industry standards?
### Assistant: Nvidia's delivery to operations of a data center is measured in weeks, which is significantly faster than industry standards that can take months or even a year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's infrastructure provide high throughput and low cost?
### Assistant: Nvidia's infrastructure provides high throughput and low cost, as their technology translates into infrastructure that offers the highest throughput and the lowest possible cost.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the importance of software in Nvidia's accelerated platforms?
### Assistant: The importance of software in Nvidia's accelerated platforms is that it plays a crucial role in their newest architecture and essentially all products. They have a substantial amount of software included in their offerings, which helps customers start their work in generative AI and accelerated computing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia help customers start their work in generative AI and accelerated computing?
### Assistant: Nvidia helps customers start their work in generative AI and accelerated computing by providing many different models and options. They have DGX Cloud, which offers services to help customers build models. They also have the NVIDIA AI Enterprise, which serves as an operating system for AI. These offerings provide the necessary tools and support for customers to explore and utilize generative AI and accelerated computing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of DGX Cloud in providing services to customers?
### Assistant: DGX Cloud is significant in providing services to customers because it allows them to create custom models in a high-performance computing sandbox. This enables enterprises to have all the capabilities they need, such as large language models and the ability to adapt them for their own use cases. Additionally, DGX Cloud allows for the deployment of AI in any cloud, providing flexibility for enterprises with agreements with multiple cloud vendors.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia monetize their software offerings?
### Assistant: Nvidia monetizes their software offerings by providing software packages and services to customers. They offer NVIDIA AI Foundations and NVIDIA AI Enterprise, which are essential for creating custom models and deploying AI in various environments. By providing these software solutions, Nvidia is able to generate revenue from enterprises that require high-performance computing and AI capabilities.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does the growth of generative AI impact accelerated computing in CSPs?
### Assistant: The growth of generative AI has a significant impact on accelerated computing in CSPs (Cloud Service Providers). Generative AI is being used in training, refining, and deploying AI models in many applications. As a result, inference has become a major driver of accelerated computing. This growth in generative AI is fueling the demand for accelerated computing in CSPs.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the two segments that require a new stack of software in Nvidia's offerings?
### Assistant: The two segments that require a new stack of software in Nvidia's offerings are enterprise and industrials. These segments have specific needs, such as deploying AI engines in multiple clouds and aligning AI to their own principles and operating domains. To meet these requirements, Nvidia offers NVIDIA AI Foundations and NVIDIA AI Enterprise as software stacks tailored for enterprise and industrial applications.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Why does enterprise require a new stack of software in Nvidia's offerings?
### Assistant: Enterprise requires a new stack of software in Nvidia's offerings because enterprises need to have all the capabilities necessary for their specific use cases. This includes the ability to adapt large language models for proprietary use and align them with their own data and principles. Enterprises also require the ability to deploy their AI in multiple clouds due to agreements with different cloud vendors. The new stack of software provided by Nvidia, such as NVIDIA AI Enterprise, addresses these specific needs of enterprises.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the purpose of DGX Cloud in creating custom models for enterprises?
### Assistant: DGX Cloud plays a role in creating custom models for enterprises by providing a high-performance computing sandbox. Enterprises can use DGX Cloud to develop and refine their models in a controlled and powerful computing environment. This allows them to iterate and optimize their models before deploying them in production.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia support the deployment of AI in multiple cloud vendors for enterprises?
### Assistant: Nvidia supports the deployment of AI in multiple cloud vendors for enterprises by offering solutions like DGX Cloud. With DGX Cloud, enterprises can deploy their AI models in any cloud, giving them the flexibility to choose the cloud provider that best fits their needs. This support for multi-cloud deployment helps enterprises leverage their existing agreements and services with different cloud vendors.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of NVIDIA AI Foundations in helping create custom models?
### Assistant: NVIDIA AI Foundations is significant in helping create custom models because it provides the necessary tools and resources for enterprises to develop and train their own AI models. It offers a foundation for building custom models and provides the essential building blocks required for AI development.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What makes NVIDIA AI Enterprise the only accelerated stack in the world that is enterprise safe and supported?
### Assistant: NVIDIA AI Enterprise is the only accelerated stack in the world that is enterprise safe and supported. It is designed to meet the specific needs of enterprises, providing continuous security patches and support for all the software packages involved in the AI workflow. This ensures that enterprises can deploy their AI engines securely and with confidence.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How many packages make up NVIDIA AI Enterprise and what is their purpose?
### Assistant: NVIDIA AI Enterprise consists of 4,000 different packages of software. These packages represent the end-to-end operating engine of the entire AI workflow. They cover various aspects such as data ingestion, data processing, training AI models, and deploying AI models for inferencing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the importance of data processing in training an AI model?
### Assistant: Data processing is of great importance in training an AI model. In order to train a model, a significant amount of data needs to be processed, curated, and aligned. This data processing step can consume a substantial portion of the computing time, sometimes reaching 40%, 50%, or even 60% of the total computing time required for training.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does NVIDIA AI Enterprise continuously support and patch the software packages?
### Assistant: NVIDIA AI Enterprise continuously supports and patches all of the 4,000 software packages that make up the stack. This ensures that the software remains up to date, secure, and optimized for AI workflows. By providing continuous support and patching, Nvidia ensures that enterprises have access to the latest features and improvements in their software stack.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Why is secure deployment important for enterprises using NVIDIA AI Enterprise?
### Assistant: Secure deployment is important for enterprises using NVIDIA AI Enterprise because it allows them to deploy their AI engines with confidence. Enterprises need to ensure that their AI deployments meet security standards and can be supported in both cloud and on-premises environments. By providing an enterprise-safe and supported stack, Nvidia enables secure deployment of AI engines for enterprises.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the purpose of Omniverse in aligning AI for robotics and physics?
### Assistant: The purpose of Omniverse is to align AI for robotics and physics. Just as AI needs to be aligned with ethics, robotics and industrial applications require AI to be aligned with physics. Omniverse provides the necessary technology, such as reinforcement learning Omniverse feedback, to align AI for robotics and physics applications.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does reinforcement learning human feedback play a role in aligning AI for ethics?
### Assistant: Reinforcement learning human feedback plays a role in aligning AI for ethics by providing a means to train AI models based on human feedback. This feedback helps the AI system understand ethical considerations and align its behavior accordingly. In the case of industrial applications and robotics, reinforcement learning Omniverse feedback is used to align AI for physics-related considerations.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of Omniverse in software-defined and robotic applications?
### Assistant: Omniverse is significant in software-defined and robotic applications because it serves as a vital engine for these applications and industries. It provides the necessary tools and capabilities to develop and deploy software-defined and robotic applications. Omniverse helps align AI with physics and enables the simulation and visualization of complex environments.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Omniverse need to be a cloud service platform?
### Assistant: Omniverse needs to be a cloud service platform to provide scalability and accessibility to users. By being a cloud service platform, Omniverse can offer the necessary resources and computing power required for complex simulations and robotic applications. It allows users to access and utilize Omniverse from anywhere, making it more convenient and flexible for users.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the three software stacks in Nvidia's offerings?
### Assistant: The three software stacks in Nvidia's offerings are AI Foundations, AI Enterprise, and Omniverse. These stacks provide the necessary tools, resources, and support for customers to create custom AI models, deploy AI engines securely, and align AI for specific applications and industries.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does AI Foundations, AI Enterprise, and Omniverse contribute to Nvidia's software stack?
### Assistant: AI Foundations, AI Enterprise, and Omniverse contribute to Nvidia's software stack by offering different capabilities and solutions. AI Foundations provides the essential building blocks for AI development, AI Enterprise offers an enterprise-safe and supported stack for deploying AI engines, and Omniverse serves as a vital engine for software-defined and robotic applications.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the role of AI Enterprise in the entire AI workflow?
### Assistant: AI Enterprise plays a role in the entire AI workflow by providing an end-to-end operating engine. It supports data ingestion, data processing, training AI models, and deploying AI models for inferencing. It ensures that enterprises have a secure and supported stack for all their AI-related tasks.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does data processing impact the computing time in training an AI model?
### Assistant: Data processing impacts the computing time in training an AI model because a significant amount of time is spent on processing and preparing the data for training. This step can consume a large portion of the computing time, sometimes reaching 40%, 50%, or even 60% of the total time required for training. Efficient data processing is crucial for optimizing the overall training process.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Why is secure deployment crucial for enterprises using Nvidia's software stack?
### Assistant: Secure deployment is crucial for enterprises using Nvidia's software stack because it ensures that their AI engines can be deployed in a secure and supported manner. Enterprises need to meet security standards and have the confidence that their AI deployments are protected from potential threats. By providing an enterprise-safe and supported stack, Nvidia addresses these security concerns.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Omniverse align AI for industrial applications and industries?
### Assistant: Omniverse aligns AI for industrial applications and industries by providing the necessary tools and capabilities for simulating and visualizing complex environments. It allows AI to be aligned with physics-related considerations, enabling the development and deployment of AI-driven solutions in industries that require precise and accurate simulations.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the name of the company mentioned in the text?
### Assistant: The company mentioned in the text is Nvidia.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: In which clouds does Nvidia Omniverse run?
### Assistant: Nvidia Omniverse runs in the clouds that Nvidia has partnerships with, such as Azure, GCP, and Oracle.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What kind of partnerships does Nvidia have with Azure?
### Assistant: Nvidia has partnerships with Azure on both AI and Omniverse.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which cloud vendors does Nvidia partner with for DGX Cloud?
### Assistant: Nvidia partners with GCP and Oracle for DGX Cloud.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What types of software stacks are needed to extend the reach of AI beyond the cloud?
### Assistant: To extend the reach of AI beyond the cloud, two new types of software stacks are needed.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia plan to partner with the sales and marketing teams of cloud vendors?
### Assistant: Nvidia plans to partner with the sales and marketing teams of cloud vendors by integrating AI Enterprise into their clouds.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the analyst from UBS that asked a question?
### Assistant: The analyst from UBS that asked a question is Timothy Arcuri.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What was the analyst's question about InfiniBand versus ethernet?
### Assistant: The analyst's question was about the debate between InfiniBand and ethernet, and how it plays out in terms of latency and attach rate.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the attach rate of InfiniBand solutions to Nvidia's core compute shipments?
### Assistant: The attach rate of InfiniBand solutions to Nvidia's core compute shipments is not mentioned in the given text.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Is ethernet being crowded out by InfiniBand on the compute side?
### Assistant: It is not mentioned in the text whether ethernet is being crowded out by InfiniBand on the compute side.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Why did Nvidia not repurchase any shares despite having $7 billion available?
### Assistant: Nvidia did not repurchase any shares despite having $7 billion available due to timing.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the differences between InfiniBand and ethernet in terms of their applications in a data center?
### Assistant: InfiniBand and ethernet target different applications in a data center. InfiniBand is designed for an AI factory, while ethernet is more suitable for multi-tenant cloud data centers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What kind of quarter and year is InfiniBand expected to have?
### Assistant: InfiniBand is expected to have a record quarter and a giant record year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the difference in overall throughput between InfiniBand and ethernet?
### Assistant: The text does not provide a specific difference in overall throughput between InfiniBand and ethernet.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Why do people use InfiniBand despite its higher cost?
### Assistant: People use InfiniBand despite its higher cost because the difference in data center throughput between InfiniBand and ethernet is significant and the benefits outweigh the cost.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: In what type of data center is ethernet the right answer?
### Assistant: Ethernet is the right answer for multi-tenant cloud data centers with a large number of small jobs shared by millions of people.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the new segment in the middle that Nvidia sees as an opportunity?
### Assistant: The new segment in the middle that Nvidia sees as an opportunity is the generative AI cloud.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What major product line is Nvidia planning to announce for the new segment?
### Assistant: Nvidia is planning to announce a major product line for ethernet-focused generative AI application type of clouds.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How is InfiniBand performing in terms of numbers?
### Assistant: InfiniBand is performing exceptionally well, with record numbers quarter on quarter and year on year.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the analyst from Bernstein Research that asked a question?
### Assistant: The analyst from Bernstein Research that asked a question is Stacy Rasgon.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What was the analyst's question about inference versus training for generative AI?
### Assistant: The analyst's question about inference versus training for generative AI is not specified in the given text.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is Nvidia's perspective on the opportunity for inference in generative AI?
### Assistant: Nvidia sees inference as a very large opportunity in generative AI.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia differentiate between inference and training in generative AI?
### Assistant: Nvidia differentiates between inference and training in generative AI by stating that inference is a larger opportunity.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the analyst's second subpart question about?
### Assistant: The analyst's second subpart question is not mentioned in the given text.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is Nvidia's response to the second subpart question about inference versus training for generative AI?
### Assistant: Nvidia's response to the second subpart question about inference versus training for generative AI is not provided in the given text.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the three major applications of generative AI mentioned by Nvidia's CEO?
### Assistant: The three major applications of generative AI mentioned by Nvidia's CEO are recommender systems, large language models, and vector databases.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia describe the future of computing?
### Assistant: Nvidia describes the future of computing as a shift towards accelerated computing infrastructure, specifically in the field of generative AI. They believe that general-purpose computing is not scalable for data centers and that accelerated computing is the way forward.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the difference between training and inference in generative AI?
### Assistant: In generative AI, training refers to the process of collecting and processing new data, training models with the new data, and learning representations of the data. Inference, on the other hand, refers to the use of APIs to connect generative AI models to various applications and workflows.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia define an "intelligence factory"?
### Assistant: Nvidia defines an "intelligence factory" as a concept where companies have dedicated infrastructure and workflows for training and processing data, vectorizing data, and learning representations of the data. It is a factory-like system that continuously operates to generate intelligence.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are some examples of APIs used in generative AI?
### Assistant: Some examples of APIs used in generative AI are open APIs that can be connected to various applications, APIs integrated into workflows, and generative AI APIs provided by companies like ServiceNow and Adobe.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia see the growth of AI factories and AI inference with APIs?
### Assistant: Nvidia sees a significant growth in the segment of AI factories and AI inference with APIs. They believe that more and more companies will realize the need for an intelligence factory and that the market for AI inference with APIs is growing exponentially.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the current state of data centers in terms of computing infrastructure?
### Assistant: The current state of data centers in terms of computing infrastructure is transitioning from 100% CPUs to accelerated computing. Nvidia believes that accelerated computing is the path forward for data centers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the killer app for accelerated computing according to Nvidia?
### Assistant: The killer app for accelerated computing, according to Nvidia, is generative AI. They believe that generative AI is the driving force behind the transition from general-purpose computing to accelerated computing in data centers.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia expect the capital budget for data centers to change in the future?
### Assistant: Nvidia expects the capital budget for data centers to lean heavily into generative AI and accelerated computing infrastructure. They anticipate that a significant portion of the budget will be allocated to GPUs, accelerated switches, and accelerated networking chips.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the projected focus of the $1 trillion infrastructure in the next few years?
### Assistant: The projected focus of the $1 trillion infrastructure in the next few years, according to Nvidia, will be largely on generative AI and accelerated computing. They believe that most of the infrastructure investment will be directed towards these areas.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia see the relationship between training and inference in generative AI?
### Assistant: Nvidia sees training and inference as two interconnected processes in generative AI. Training involves continuously collecting new data and training models with the new data, while inference involves using APIs to connect generative AI models to applications and workflows.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the goal of cloud customers in terms of reducing cost per query?
### Assistant: The goal of cloud customers in terms of reducing cost per query is to achieve significant cost reductions. They aim to lower the cost associated with processing queries in order to make their services more efficient and affordable.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What specialty inference products did Nvidia launch at GTC?
### Assistant: Nvidia launched specialty inference products at GTC, although the specific products are not mentioned in the given text.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia plan to help customers reduce their cost per query?
### Assistant: Nvidia plans to help customers reduce their cost per query by providing specialty inference products and technologies. The details of how they plan to achieve this are not mentioned in the given text.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the significance of large language models in the inference market?
### Assistant: Large language models have a significant impact on the inference market. They are a key focus area for cloud customers who want to reduce cost per query. The demand for large language models drives the need for efficient and cost-effective inference solutions.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's CEO describe the continuous nature of training in generative AI?
### Assistant: Nvidia's CEO describes the continuous nature of training in generative AI by stating that every time a deployment occurs, new data is collected and used for training. This implies that training is an ongoing process that never really reaches a final state.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the role of new data in the training process?
### Assistant: New data plays a crucial role in the training process of generative AI. It is collected and used to train models, enabling them to learn and improve their representations of the data.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia describe the process of vectorizing data in generative AI?
### Assistant: Nvidia describes the process of vectorizing data in generative AI as the act of converting collected structured and unstructured data into vector representations. These vector representations are used to augment large language models and other generative AI applications.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the potential applications of recommender systems in generative AI?
### Assistant: Recommender systems in generative AI can have various applications, such as providing personalized recommendations for products or content based on user preferences and behavior.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Which companies does Nvidia partner with in AI Foundations?
### Assistant: Nvidia partners with companies like ServiceNow and Adobe in AI Foundations.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia see the growth of AI inference in the market?
### Assistant: Nvidia sees a significant growth in the market for AI inference. They believe that there will be a growing number of APIs, both open and integrated, that companies can connect to their workflows or use as applications.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the expected growth rate of the AI factories segment?
### Assistant: The expected growth rate of the AI factories segment is described as exponential, practically growing by the week.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia see the future of data center computing infrastructure?
### Assistant: Nvidia sees the future of data center computing infrastructure as predominantly focused on generative AI and accelerated computing. They believe that the majority of the $1 trillion infrastructure will be directed towards these areas.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the impact of the end of Moore's Law on data centers?
### Assistant: The end of Moore's Law has a significant impact on data centers. Nvidia mentions that general-purpose computing is not scalable for data centers and that accelerated computing is the path forward due to the limitations of Moore's Law.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How does Nvidia's CEO describe the future focus of data center capital budgets?
### Assistant: Nvidia's CEO describes the future focus of data center capital budgets as leaning heavily into generative AI and accelerated computing infrastructure. They expect a significant portion of the capital budget to be allocated to GPUs, accelerated switches, and accelerated networking chips.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: Who is the President and Chief Executive Officer of Nvidia?
### Assistant: The President and Chief Executive Officer of Nvidia is Jensen Huang.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the purpose of building large language models?
### Assistant: The purpose of building large language models is to have a versatile and powerful AI that can perform a wide range of tasks.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: How can the large language model be used to train smaller ones?
### Assistant: The large language model can be used to train smaller ones by using it to generate prompts and align the smaller models, teaching them to be good AIs.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What are the different sizes of inference offered by Nvidia?
### Assistant: Nvidia offers different sizes of inference, such as L4, L40, H100 NVL, H100 HGX, and H100 multinode with NVLink.


[INST] <<SYS>>
Use the provided conversation to generate a relevant answer. If the new question is related to the prior context, use that information to provide a more detailed answer. If the new question is not related to prior context, provide a standalone answer.
<<\/SYS>>

### Human: What is the importance of pre and postprocessing in AI inference?
### Assistant: Pre and postprocessing are important in AI inference because they are responsible for tasks such as image and video processing, text analysis, and 3D graphics generation.