It’s impossible to convey the excitement of a Jensen Huang keynote address at GTC, but here’s what caught my eye.
Interestingly, NVIDIA disclosed that Hopper also has blown the lid off of existing limitations in inference processing, supporting 300 concurrent users of LLM models, a 30-fold increase over the A100. As background, lest you think that LLM’s are a solution looking for a problem, just the generative model craze alone is staggering. Midjourney has over 1M active users creating art from text prompts.
I am continually amazed that many journalists and industry pundits point to the likes of Meta and Apple when speaking of the emerging Metaverse, ignoring the fact that NVIDIA already has large customers using Omniverse to collaborate using digital twins.You’ve heard me say it many times before, but NVIDIA has just shared some pretty amazing numbers about their ecosystem. First, let me remind you of the scale of NVIDIA solution software and frameworks.
Actually there are another dozen technologies that merit attention such as the addition of NVIDIA Clara to the Broad Institute Tera Cloud Platform. But before I close I wanted share that NVIDIA has cancelled the roadmap icon for DRIVE Atlan, announced at GTC ‘21, and has replaced it with — get this — DRIVE Thor that will deliver twice the performance at 2000 TOPs for autonomous vehicles in the same timeframe, delivering in 2025, the same model year that Atlan had been targeting.
Next up we will learn more about Grace in 2023, and NVIDIA’s detailed plans for getting in the Arm CPU business, not as an end goal, but to enable tighter CPU-GPU-DPU integration for optimized data centers.
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