g-f(2)1239 NVIDIA: The AI Leader That Lights the Way

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genioux Facts:

This lighthouse presents a collection of 10 golden insight macro facts about the latest breakthroughs from NVIDIA's brilliant leadership. The facts have been extracted from golden knowledge containers.

The lighthouse presents a collection of 10 golden knowledge macro facts extracted from various sources, including Bloomberg, CNBC, Forbes, Venture Beat, Reuters, The Verge, TC, and CIO. The facts cover a range of topics, including NVIDIA’s next-generation GH200 Grace Hopper platform, its new AI accelerator chip, its new high-bandwidth memory version, and its AI Workbench software platform.

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This is the collection of 10 golden knowledge facts:

1. NVidia Fact. NVIDIA announced the next-generation GH200 Grace Hopper platform, which is built for the era of accelerated computing and generative AI.
• The platform is based on a new Grace Hopper Superchip with the world's first HBM3e processor. It can handle the world's most complex generative AI workloads, spanning large language models, recommender systems and vector databases. The dual configuration offers up to 3.5x more memory capacity and 3x more bandwidth than the current generation offering.
2. Bloomberg Fact. NVIDIA announced a new AI accelerator chip that could make it harder for rivals like AMD and Intel to catch up.
• The chip is designed to be more powerful and efficient than previous generations of AI accelerators. This could give NVIDIA a significant advantage in the market, as it will be able to offer its customers faster and cheaper AI solutions.
3. CNBC Fact. NVIDIA announced a new AI chip to fend off competitors in the AI hardware space.
• The chip is designed to be more powerful and efficient than previous generations of AI chips. This could help NVIDIA maintain its dominance in the market, as it will be able to offer its customers faster and cheaper AI solutions.
4. Forbes Fact. NVIDIA announced a new high-bandwidth memory version that is only available with the CPU-GPU Superchip. This will give NVIDIA a significant advantage in the market for large language model inference processing.
• The new memory version is based on the HBM3e standard, which is the latest generation of high-bandwidth memory. It offers up to 3.2x more bandwidth than the previous generation of HBM2 memory. This will allow NVIDIA to process large language models much faster than its rivals.
5. Venture Beat Fact. NVIDIA announced a new version of the GH200 Grace Hopper platform with next-generation HBM3e memory technology.
• The new platform is an update to the existing GH200 chip, which was announced in May. It features the latest generation of HBM3e memory technology, which offers up to 3.2x more bandwidth than the previous generation of HBM2 memory. This will allow the new platform to process data much faster than the previous generation.
6. Reuters Fact. NVIDIA announced a new configuration for its Grace Hopper Superchip that boosts the amount of high-bandwidth memory and is optimized to perform AI inference functions for generative AI applications.
• The new configuration of the Grace Hopper Superchip includes more high-bandwidth memory, which will allow it to power larger AI models. This is important for generative AI applications, which often require large models to generate realistic text, images, and other content.
7. The Verge Fact. NVIDIA announced the availability of the GH200 super chip, which is designed to handle the most complex generative AI workloads.
• The GH200 super chip has the same GPU as the H100, but triple the memory capacity. This will allow it to handle even the most demanding generative AI workloads, such as large language models, recommender systems, and vector databases.
8. TC Fact. NVIDIA founder and CEO Jensen Huang said that the company made an existential business decision in 2018 to bet on AI, which has paid off enormously.
• In 2018, NVIDIA made the decision to focus its business on AI. This was a risky decision at the time, as AI was still a relatively new technology. However, the decision has paid off, as NVIDIA is now the world's leading AI chipmaker.
9. CIO Fact. NVIDIA announced AI Workbench, a new PC application that helps enterprises create AI models and deploy them to their data centers or to the cloud.
• AI Workbench is a software platform that provides a unified environment for creating, training, and deploying AI models. It includes a variety of tools and features that make it easy to build and deploy AI models, even for users with limited AI experience.
10. The Motley Fool Fact. If the highest price targets are correct, NVIDIA and Amazon offer greater upside potential in the next 12 months than the other Magnificent Seven stocks.
• The Magnificent Seven are a group of megacap stocks that have created tremendous wealth for shareholders. They are collectively worth $12 trillion, and they account for 27% of the S&P 500.

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TC Fact. Nvidia founder and CEO Jensen Huang said today that the company made an existential business decision in 2018 that few realized would redefine its future and help redefine an evolving industry. It’s paid off enormously, of course, but Huang said this is only the beginning of an AI-powered near future — a future powered primarily by Nvidia hardware. Was this successful gambit lucky or smart? The answer, it seems, is “yes.”

The Verge Fact. Nvidia, already the market leader in providing high-end processors for generative AI use, will release an even more powerful chip as the demand to run large AI models continues. 

• The company announced the availability of the GH200 super chip, which Nvidia said can handle “the most complex generative AI workloads, spanning large language models, recommender systems and vector databases.”
• The GH200 will have the same GPU as the H100, currently Nvidia’s most powerful and popular AI offering, but triple the memory capacity. The company said systems running on GH200 will start in the second quarter of 2024. 

Bloomberg Fact. 

• Company is upgrading lineup that fueled $1 trillion valuation
• New chip could make it harder for rivals like AMD to catch up

Nvidia has built an early lead in the market for so-called AI accelerators, chips that excel at crunching data in the process of developing artificial intelligence software. That’s helped propel the company’s valuation past $1 trillion this year, making it the world’s most valuable chipmaker. The latest processor signals that Nvidia aims to make it hard for competitors like Advanced Micro Devices Inc. and Intel Corp. to catch up.

In the age of AI, Huang sees his technology as a replacement for traditional data center gear. He said that a $100 million facility built with older equipment can be replaced with an $8 million investment in his new technology. That type of facility would use 20 times less power, Huang said.

CNBC Fact. Nvidia announced a new chip designed to run artificial intelligence models on Tuesday as it seeks to fend off competitors in the AI hardware space, including AMD, Google and Amazon.

Currently, Nvidia dominates the market for AI chips with over 80% market share, according to some estimates. The company’s specialty is graphics processing units, or GPUs, which have become the preferred chips for the large AI models that underpin generative AI software, such as Google’s Bard and OpenAI’s ChatGPT. But Nvidia’s chips are in short supply as tech giants, cloud providers and startups vie for GPU capacity to develop their own AI models.

Forbes Fact. The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing.

The AI landscape continues to change rapidly, and fast memory (HBM) capacity has emerged as a critical driver of the costs of Large Language Model (LLM) inference processing where these big models are put to use. AMD has touted their upcoming MI300 HBM capacity as helping lower these costs, but now this advantage over NVIDIA may be fleeting at best. NVIDIA will upgrade memory for the Grace Hopper superchip first, increasing NVIDIA' share of wallet and Grace's adoption at the expense of x86. Let’s dive in.

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Venture Beat Fact. Today is a busy day of news from Nvidia as the AI leader takes the wraps off a series of new developments at the annual SIGGRAPH conference.

On the hardware front, one of the biggest developments from the company is the announcement of a new version of the GH200 Grace Hopper platform, powered with next-generation HBM3e memory technology. The GH200 announced today is an update to the existing GH200 chip announced at the Computex show in Taiwan in May.

“We announced Grace Hopper recently several months ago, and today we’re announcing that we’re going to give it a boost,” Nvidia founder and CEO Jensen Huang said during his keynote at SIGGRAPH. 

NVidia Fact. NVIDIA today announced the next-generation NVIDIA GH200 Grace Hopper™ platform — based on a new Grace Hopper Superchip with the world’s first HBM3e processor — built for the era of accelerated computing and generative AI.

Created to handle the world’s most complex generative AI workloads, spanning large language models, recommender systems and vector databases, the new platform will be available in a wide range of configurations.

The dual configuration — which delivers up to 3.5x more memory capacity and 3x more bandwidth than the current generation offering — comprises a single server with 144 Arm Neoverse cores, eight petaflops of AI performance and 282GB of the latest HBM3e memory technology.

NVIDIA Keynote at SIGGRAPH 2023

Reuters Fact. Nvidia announced a new configuration on Tuesday for its advanced artificial intelligence chips that is designed to speed generative AI applications.

The new version of the Grace Hopper Superchip boosts the amount of high-bandwidth memory, which will give the design the capacity to power larger AI models, according to Nvidia's vice president of hyperscale and HPC, Ian Buck. The configuration is optimized to perform AI inference functions that effectively power generative AI applications such as ChatGPT.

CIO Fact. Chip maker Nvidia is using software to position itself at the center of two model-making markets: AI and 3D.

Nvidia has recently focused more on its support for AI applications, but it still had plenty of news from CEO Jensen Huang in a keynote address during the annual computer graphics conference, SIGGRAPH.

Huang had a few AI announcements to make, including the release of AI Workbench, a new PC application enterprises can use to help create AI models and deploy them to their data centers or to the cloud. There was also an update to Nvidia AI Enterprise, version 4.0, adding support for the company’s cloud-native NeMo framework to build large language models (LLMs), as well as a new tool to manage multiple instances of Triton inference server to scale AI systems more easily.

The Motley Fool Fact. If the highest price targets are correct, Nvidia and Amazon offer greater upside in the next 12 months than the other Magnificent Seven stocks.

Investors are understandably fascinated by the so-called "Magnificent Seven" stocks, a group of megacap companies that have created tremendous wealth for shareholders.

The Magnificent Seven are collectively worth $12 trillion -- nearly half of U.S. gross domestic product -- and they account for 27% of the S&P 500 (SNPINDEX: ^GSPC) by weighted exposure. The group includes: Apple, Microsoft, Alphabet, Amazon (AMZN -1.60%), Nvidia (NVDA -1.66%), Tesla, and Meta Platforms.

Six of the Magnificent Seven currently carry a consensus "buy" rating among Wall Street strategists, Tesla being the only exception with a "hold" rating.

g-f(2)1239: The Juice of Golden Knowledge

Some relevant characteristics of this "genioux Fact"

• BOMBSHELL KNOWLEDGE
• Category 2: The Big Picture of the Digital Age
• The Lighthouse of the Big Picture of the Digital Age
• The "Positive Disruption: AI Revolution" has accelerated
• The internal title
• The Lighthouse of Visionary AI Leaders: NVIDIA bet heavily on artificial intelligence and brilliantly consolidates its leadership 
• [genioux fact deduced or extracted from geniouxfacts + Multiple sources + Bard + Bing Chatbot]
• This is a “genioux fact fast solution.”
• Tag "GkPath" highway
• GKPath is the highway where there is no speed limit to grow. 
• GkPath is paved with blocks of GK.
• "genioux facts", the online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) digital freeway to accelerate everyone's success in the digital age.
• Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
• Type of validity of the "genioux fact". 

• Inherited from sources + Supported by the knowledge of one or more experts.

• Authors of the genioux fact
• Fernando Machuca

References

“genioux facts”: The online programme on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1239, Fernando Machuca, August 8, 2023, Genioux.com Corporation.

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ABOUT THE AUTHORS

Fernando Machuca

CEO ‎Genioux.com Corporation

PhD with awarded honors in computer science in France

Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a nondisruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts". The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.