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Nvidia GTC 2024: Why Nvidia Dominates AI
This image, part of Nvidia CEO Jensen Huang’s keynote presentation, shows several Blackwell-based products. (Source: Nvidia)
AI models. The microservices support standard APIs to connect and Nvidia also announced new Earth-2 cloud APIs on Nvidia DGX
work across Nvidia’s CUDA installed base. They are re-optimized Cloud. These will allow users to create AI-powered emulations to speed
for new GPUs and are scanned for security vulnerabilities and the delivery of interactive, high-resolution simulations of phenomena
exposures. ranging from global atmospheric conditions and local cloud cover to
Nvidia is launching a new type of NIM-based biosystem software. storms and other events. Earth-2’s APIs offer AI models and a new
The company rolled out more than two dozen microservices that will Nvidia generative AI model, called CorrDiff, using state-of-the-art
allow healthcare enterprises to leverage the latest advances in diffusion modeling to generate 12.5× higher-resolution images than
generative AI. are possible with current numerical models. Compared with the current
models, the Earth-2 API models are 1,000× faster and 3,000× more
Omniverse Cloud API energy-efficient.
The main goal of Omniverse is to bring AI to the physical world. Nvidia
announced that Omniverse Cloud will be available as APIs to extend Blackwell Thor
the reach of the Omniverse platform for creating industrial digital twin For the automotive industry, Drive Thor was the key announcement
applications and workflows across many software ecosystems. at GTC 2024. Drive Thor incorporates the Blackwell GPU architecture,
The five new Omniverse Cloud APIs enable developers to integrate which is designed for transformer and generative AI applica-
core Omniverse technologies into existing design and automation tions. These capabilities will be important for future AV and ADAS
software applications for digital twins. This provides simulation work- functionality.
flows for testing and validating autonomous machines like robots and There is also a Jetson Thor version, which targets robotics applica-
self-driving vehicles. tions and is also likely to be used in some automotive segments.
6G Research Cloud SUMMARY
In telecom, Nvidia announced the Nvidia 6G Research Cloud, a Nvidia made more announcements at GTC 2024 than at any other of its
generative AI and Omniverse-powered platform to advance the next conferences. The Blackwell GPU is the most important of those intro-
communications era. It’s built with Nvidia’s Sionna neural radio frame- ductions, as there will be many new products—some announced at the
work, the Nvidia Aerial CUDA-accelerated radio access network and the conference and others likely to appear next year.
Nvidia Aerial Omniverse Digital Twin for 6G. This offering should help Nvidia’s GTC 2024 was an important event that shows Nvidia’s
telecom developers test and simulate the many options for defining the strategy and product direction for the next couple of years. It looks
technologies and features of 6G. like Nvidia will continue its domination in GPU-based hardware and
CUDA-based software for existing AI software segments and use cases
Weather prediction over that time period. Nvidia will face more competition and will lose
Nvidia announced the availability of its Earth Climate Digital Twin, a some market share, albeit of a much larger pie. Expect Nvidia to retain
cloud platform that enables interactive, high-resolution simulation to its AI leadership for a long time to come as it leverages its synergistic
accelerate climate and weather predictions at a 2-km scale. chip-hardware-software products and services. ■
www.eetimes.eu | JUNE 2024