H200 vs P100

The H200 delivers 989 TFLOPS FP16 dense performance while the P100 delivers 18.7 TFLOPS FP16 dense performance. This gap translates to substantially shorter training times for large models and higher throughput during inference when both figures are measured in dense mode. Memory bandwidth of 4800 GB/s on the H200 versus 732 GB/s on the P100 supports larger batch sizes without swapping data to host memory. The H200 also lists 1979 TFLOPS FP16 with sparsity compared to the P100 value that remains limited to dense mode only. TDP values of 700 W for the H200 and 250 W for the P100 further influence sustained performance in dense versus sparse workloads.

The H200 suits workloads that require 141 GB VRAM and 4800 GB/s bandwidth such as training models that exceed the capacity of older cards. Its 989 TFLOPS FP16 dense rating accelerates both training and inference compared to prior generations. Organizations running current frameworks benefit from the NVLink and PCIe 5.0 interconnects available on the H200.

The P100 fits environments that retain Pascal era software stacks or operate under a 250 W power limit. Its 9.3 TFLOPS FP32 rating remains adequate for smaller scientific simulations that fit within 16 GB VRAM. Legacy systems already equipped with SXM2 or PCIe 3.0 slots can continue using the P100 without hardware changes.