2024-02-07
139
2 minutes.


A new level of efficiency: Nvidia uses an AI system to make chips super-fast

Nvidia uses AI to speed up the development of new chips

Rapid chip development with AI

Nvidia, known for its graphics processors, recently implemented artificial intelligence (AI) to increase the speed of development of its chips. The move will help the company meet growing demand for its products, Business Insider reported.

Effective use of ChipNeMo

Creating chips usually involves a significant number of specialists. The task of developing one chip requires the work of about a thousand specialists who must have deep knowledge in various areas of the process.

A new level of efficiency Nvidia uses an AI system to make chips super fast

However, Nvidia has created the ChipNeMo AI system, which makes this process much easier. It is based on a powerful language model built on Meta's Llama 2 technology and trained on the company's own data. The ChipNeMo chatbot can answer questions related to chip design, including questions about GPU architecture and code generation for their design.

Since introducing ChipNeMo last October, Nvidia has seen the AI system become extremely useful for teaching young engineers the chip design process and generalizing knowledge from 100 different teams.

The pursuit of artificial intelligence

All of these efforts by Nvidia to increase the production of graphics processors take place against the background of a general pursuit among companies to develop artificial intelligence.

A new level of efficiency Nvidia uses an AI system to make chips super fast

Meta, which last year released AI-based products such as the large language model Llama 2, plans to buy 350,000 GPUs from Nvidia. Meta CEO Mark Zuckerberg said that the company's future in the field of artificial intelligence requires the development of a "large-scale computing infrastructure." Together with other suppliers, Meta will have 600,000 chips at its disposal.

Last July, Google introduced DeepMind, an artificial intelligence system that can speed up the process of developing their own chips. A few months later, software giant Synopsys unveiled its artificial intelligence tool designed to boost productivity among chip engineers.

Glossary

  • Nvidia - a company known for its graphics processors
  • AI - artificial intelligence
  • Business Insider - a media company
  • ChipNeMo - an artificial intelligence system from Nvidia
  • Meta - a company that develops products based on AI
  • Llama 2 - a language model developed by Meta
  • DeepMind - an artificial intelligence system from Google
  • Synopsys - a software giant provision

A new level of efficiency Nvidia uses an AI system to make chips super fast

Reference

A new level of efficiency Nvidia uses an AI system to make chips super fast

Answers to questions

How does Nvidia use AI to speed up chip development?

Nvidia uses AI to speed up the development of its chips by using the ChipNeMo artificial intelligence system.

How does ChipNeMo facilitate the chip development process?

ChipNeMo simplifies the chip development process by applying the powerful Llama 2 language model trained on Nvidia's proprietary data.

What queries can the ChipNeMo chatbot handle?

The ChipNeMo chatbot can answer questions related to chip design, including questions about GPU architecture and code generation for their design.

What benefits did Nvidia's ChipNeMo AI system bring?

Since introducing ChipNeMo, Nvidia has seen the AI system become extremely useful for teaching young engineers the process of designing chips and generalizing knowledge from 100 different teams.

Which companies are actively engaged in the development of artificial intelligence?

Companies Meta, Google, and Synopsys are actively involved in the development of artificial intelligence by releasing products that use AI to speed up processes related to the development of chips.

Copywriter Elbuz
Brief description
Nvidia is introducing artificial intelligence to speed up the process of developing new chips to meet the demand for its products.
Article Target
to inform and engage readers about using Nvidia's AI system to make chips faster
Style
informative
Target audience
technological audience, computer technology enthusiasts


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