H200 vs V100

Dense FP16 performance reaches 989 TFLOPS on the H200 and 125 TFLOPS on the V100. The difference means the H200 completes matrix multiplications in training and inference at a higher rate when both operate in dense FP16 mode. FP32 performance of 67 TFLOPS versus 15.7 TFLOPS produces a similar advantage for the H200 in precision sensitive calculations. Memory bandwidth of 4800 GB/s on the H200 compared with 900 GB/s on the V100 supports larger batch sizes before memory capacity limits are reached. The H200 also lists FP16 performance with sparsity at 1979 TFLOPS while the V100 lists only the dense value of 125 TFLOPS, so comparisons stay within dense figures for both GPUs.

The H200 suits workloads that require 141 GB of VRAM and 4800 GB/s bandwidth such as training large language models that exceed 32 GB. Its 989 TFLOPS dense FP16 rating accelerates dense matrix operations beyond the 125 TFLOPS dense FP16 rating of the V100.

The V100 fits deployments limited to 300 W TDP or existing systems built around PCIe 3.0 and SXM2 form factors. Its 15.7 TFLOPS FP32 rating remains adequate for smaller scientific computing jobs that do not need the 67 TFLOPS FP32 rating of the H200.