NVIDIA Hopper H100 GPU specs upgraded: FP32 perf from 60 to 67 TFLOPS

NVIDIA upgrades the Hopper H100 GPU specs and its FP32 performance: increased from 60 TFLOPS to 67 TFLOPS, with GPU clocks of at least 1982MHz helping.

NVIDIA Hopper H100 GPU specs upgraded: FP32 perf from 60 to 67 TFLOPS
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Gaming Editor
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NVIDIA has just updated the specifications for its new Hopper H100 datacenter GPU, with the updated specs coming just two weeks after the company detailed its huge Hopper H100 GPU.

The new NVIDIA Hopper H100 GPU has improved single-precision and double-precision compute performance numbers, where during the announcement we heard it would have 30 TFLOPS of FP64 compute performance, but Hopper H100 now has 34 TFLOPS of FP64 compute performance.

NVIDIA Hopper H100 GPU specs upgraded: FP32 perf from 60 to 67 TFLOPS 01

NVIDIA has up to 16896 CUDA cores inside of its Hopper H100 GPU, which will be clocked at a higher GPU clock of at least 1982MHz -- not the 1775MHz GPU clocks that were previously reported -- NVIDIA is tapping the same custom TSMC N4 process node as its Ada Lovelace GPU architecture inside of the upcoming GeForce RTX 40 series graphics cards.

The company has also updated the INT8, FP8, FP16, and BFLOT15 numbers for the Hopper H100 -- not just FP64 -- with slightly lower performance across the board there.

As for the NVIDIA Hopper H100 itself, the company will be making it in SXM mezzanine connector and PCIe 5.0 form, with the SXM version of the Hopper H100 rocking out with the full 700W TDP, while the PCIe-based GPU will have just a 350W TDP. NVIDIA will be shipping its new Hopper H100 GPUs in Q1 2023 with NVIDIA DGX workstation systems, but the GPU itself is currently in production.

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Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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