NVIDIA Shares Blackwell GPU Compute Stats: 30% More FP64 Than Hopper, 30x Faster In Simulation & Science, 18X Faster Than CPUs
NVIDIA has shared more performance statistics of its next-gen Blackwell GPU architecture which has taken the industry by storm. The company shared several metrics including its science, AI, & simulation results versus the outgoing Hopper chips and competing x86 CPUs when using Grace-powered Superchip modules.
NVIDIA's Monumental Performance Gains With Blackwell GPUs Aren't Just Limited To AI, Science & Simulation See Huge Boost Too
In a new blog post, NVIDIA has shared how Blackwell GPUs are going to add more performance to the research segment which includes Quantum Computing, Drug Discovery, Fusion Energy, Physics-based simulations, scientific computing, & more. When the architecture was originally announced at GTC 2024, the company showcased some big numbers but we have yet to get a proper look at the architecture itself. While we wait for that, the company has more figures for us to consume.
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Starting with the details, one of NVIDIA's biggest aims with its Blackwell GPU architecture is to reduce cost and energy requirements. NVIDIA states that the Blackwell platform can simulate weather patterns at 200x lower cost and 300x less energy while running digital twin simulations encompassing the entire planet can be done with 65x cost and 58x energy reductions.
NVIDIA also sheds light on the double-precision of FP64 (Floating Point) capabilities of its Blackwell GPUs which are rated at 30% more TFLOPs than Hopper. A single Hopper H100 GPU offers around 34 TFLOPs of FP64 compute and a single Blackwell B100 GPU offers around 45 TFLOPs of compute performance. Blackwell mostly comes in the GB200 Superchip which includes two GPUs along with the Grace CPU so that's around 90 TFLOPs of FP64 compute capabilities. A single chip is behind the AMD MI300X and MI300A Instinct accelerators which offer 81.7 & 61.3 TFLOPs of FP64 capabilities on a single chip.
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