NVIDIA Hopper H100 AI GPU Benchmarked – Slower Than AMD 680M iGPU In Gaming But Destroys RTX 4090 In AI Tests
The NVIDIA Hopper H100 is currently the fastest GPU on the planet for HPC & AI workloads, making it the most popular chip on the market right now.
Since the AI explosion, the Hopper H100 GPU has seen big demand and the company has pooled all of its resources to increase the production of the said chip just to meet this massive demand. Chinese content creator, Geekerwan, brings the first look at the performance of the chip running on a standard PC in up to 4-Way configuration with multiple creation apps including gaming benchmarks.
The NVIDIA H100 GPU is a very expensive chip to get hands on within China. We have seen units cost around $30,000 and up to $50,000 US. So four of these graphics cards would cost over $100 grand which is insane. To test these GPUs on the DIY PC setup, a 3D-Printed duct had to be made to deliver cooling to the card since it comes with a passive heatsink which means there's no active cooling solution onboard the card. An NVIDIA GeForce GTX 1650 Ti graphics card was also used as a secondary display card since the H100 doesn't offer any display outputs and is intended to be used as an accelerator card.
The variant of the H100 used was the 80 GB PCIe, featuring 114 SMs enabled out of the full 144 SMs of the GH100 GPU and 132 SMs on the H100 SXM. The chip as such offers 3200 FP8, 1600 TF16, 800 FP32, and 48 TFLOPs of FP64 compute horsepower. It also features 456 Tensor & Texture Units with 24 ROPs.
The way the H100 is structured is so that only 2 of its TPCs are available for the standard graphics processing tasks while the entire GPU block is primarily dedicated to compute tasks so that can lead to adverse results in gaming even in the drivers don't support such workloads. The card features an 80 GB
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