Nvidia’s H100 Hopper Compute GPU Benchmarked in Video games, Discovered Missing

Though compute GPUs like Nvidia’s H100 formally belong to the class of graphics processing models, they’ll barely render graphics as they don’t have sufficient special-purpose {hardware}. Because it seems Nvidia’s H100, a card that prices over $30,000 performs worse than built-in GPUs in such benchmarks as 3DMark and Purple Useless Redemption 2, as found by Geekerwan.

Nvidia’s H100 card is predicated on the corporate’s GH100 processor with 14,592 CUDA cores that help a wide range of knowledge codecs used for AI and HPC workloads, together with FP64, TF32, FP32, FP16, INT8, and FP8. Against this, Nvidia’s shopper GPUs, resembling Nvidia’s AD102, solely correctly help FP32. In the meantime, GH100 solely has 24 raster working (ROPs) models and doesn’t have show engines or show outputs. Moreover, Nvidia doesn’t optimize Hopper drivers for gaming functions.