I am a freelance writer, co-founder and Principal Analyst at HTVA, and the longtime Managing Editor at HotHardware.com. My work has been published worldwide, in a number of educational, PC, and technology-related print and web publications. I have been a computing and technology enthusiast since my early childhood.
is currently underway in San Jose, California, and true to form, NVIDIA CEO Jensen Huang unveiled a diverse array of new technologies during his keynote address, targeting numerous industries, from health care, to robotics, the automotive sector, future 6G networks, and virtually everything in between.The foundation of NVIDIA’s next-generation AI portfolio is the new Blackwell GPU architecture, which is named in honor of famed mathematician David H. Blackwell.
NVIDIA is all about doubling things up this generation though, and a pair of B200 Tensor GPUs will be linked to an NVIDIA Grace CPU to create what the company is calling the GB200 Grace Blackwell Superchip. And the GB200 will be the foundation of next-gen systems as well.NVIDIA has incorporated a number of updates and innovations in Blackwell. For example, Blackwell features a 2nd Generation Transformer Engine, with support down to FP4 precision .
Blackwell also features some advances in NVIDIA’s Confidential Computing technology to enhance the level of security for real-time generative AI inference at scale “without compromising performance” according to NVIDIA, but there wasn’t much additional detail provided. Blackwell features a new Decompression Engine as well, in addition to a new RAS Engine that adds chip-level to capabilities to utilize AI-based preventative maintenance for diagnostics and potentially forecast reliability issues.
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