NVDA's B100 In the last 8 yrs is at 1000X "still not fast enuf"

GriseldaBrown
03-19

$NVIDIA Corp(NVDA)$ If you were to train GPT-4, 1.8T params model, On A100, it will take 25k A100s and take 3-5 months. On H100, it will take 8k GPUs and take ~3 months. On B100, it will take 2k GPUs and take ~ 3 months. Jenson at GTC.

Moore's Law - 10X every 5 years...100X every 10 yrs. In the last 8 yrs is at 1000X "still not fast enuf"

If NVDA can find new growth avenues—like boosting shipments via the B100 suite, bumping up profit forecasts for the year (TSMC's capacity is maxed out, so only structural tweaks are possible), or industry breakthroughs exceeding expectations (think nonlinear advancements in model capabilities or truly game-changing applications)—it could shift pricing from 2024 to 2025 or even further. 🚀

GTC Frenzy: When Will Nvidia Break Out?
Jensen Huang, CEO of Nvidia, highlighted the growth of AI and impact on the company. Huang showed off the company's highly anticipated Blackwell to transform generative AI. -------------- Which part do you like most? Any investing opportunities from the keynote speech? Will Nvidia hit $1000 or not after GTC?
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