I encourage readers to look at what NVIDIA is doing with Medtronics and the constellation of auto companies that are using NVIDIA AI to invent the next generation of automated transportation, as well as the incredible adoption NVIDIA is seeing with Omniverse. We have barely touched the surface of what NVIDIA announced today at GTC, being short on space and time, focussing on the new inference hardware and the NeMo-based AI Foundations Services. CuLitho can take the process from requiring 2 weeks of computation to just an 8-hour shift. While the tech was frankly way over my head, it sounds like it is important enough to Jensen and TSMC to highlight it as being necessary to enable the industry to get to 2nm fabrication. NVIDIAįinally, we should mention that Jensen kicked off his keynote by talking about Computational Lithography (CuLitho), a relatively esoteric semiconductor approach that maps the light transmission through a lithography mask to the silicon layers in a chip. NVIDIA Bluefield-3 DPU is now shipping and delivering MPI acceleration. Oracle Cloud is the first CSP to deploy NVIDIA’s DGX servers, offering more performance than the HGX servers most CSP’s choose. Oracle Cloud Infrastructure is using the BlueField-3 to offload management from CPUs, and of course the supercomputing community, which has long prefered Infiniband over Ethernet, is leading the adoption of this high-performance DPU. To round out the picture, Jensen pointed to the now-available BlueField-3 DPU. We think this is a risky approach and that AWS risks losing share in AI Cloud Services if they continue to favor their in-house developed AI gear over the far-superior NVIDIA hardware. AWS appears to be betting on their own AI accelerators, Inferentia and Trainium, and their internal networking over NVLINK. Even Google was present, supporting the new NVL platform as well as the new AI Foundations as a premier AI partner for NVIDIA. I couldn’t help but notice that Amazon AWS was missing from the list of CSPs supporting the H100 NVL and AI Foundations, although the company uses NVIDIA technology in their factory robots and supports single instances of the H100.

services for customization and deployment on Microsoft, Google, and Oracle clouds. NVIDIA AI Foundations, including models for text, imaging, and Bio engineering are now supported as.

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