NVIDIA has published a new blog post providing some more details about the next level of performance offered by its new Blackwell GPU architecture.
The new blog post by NVIDIA shows the gigantic performance leap that Blackwell will deliver for the research industry including quantum computing, drug discovery, fusion energy, physics-based simulations, weather simulations, scientific computing, and more.
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The new NVIDIA Blackwell AI GPUs will also feature 30% more TLOPs over Hopper, where a single Hopper H100 AI GPU features 34 TFLOPs of FP64 compute performance, a single Blackwell B100 (not even the B200) will feature 45 TFLOPs of FP64 compute performance. However, the GB200 Superchip packs on not one but two Blackwell GPUs for around 90 TFLOPs of FP64 compute performance.
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NVIDIA shared some new numbers for its B200 AI GPU platform with a gigantic 30x higher throughput while using 25x less energy and 25x lower TCO (Total Cost of Operation). NVIDIA compared the GB200 NVL72 system against 72 x86 CPUs with an 18x performance gain, and 3.27x lead over the current-gen GH200 NVL72 system in Database Join Query.
