H100 vs Quadro P4000

The H100 delivers FP16 dense performance at 989 TFLOPS while the Quadro P4000 does not publish an FP16 figure. FP32 dense performance on the H100 reaches 67 TFLOPS against 5.3 TFLOPS on the Quadro P4000 creating a substantial gap for matrix operations in training and inference. Memory bandwidth of 3350 GB/s on the H100 versus 243 GB/s on the Quadro P4000 allows larger batch sizes before memory constraints appear. The H100 also lists FP8 dense at 1979 TFLOPS and INT8 dense at 1979 TOPS with sparsity options doubling those values whereas the Quadro P4000 provides no corresponding figures.

The H100 suits large scale training and inference tasks that require 80 to 94 GB HBM3 VRAM and 3350 GB/s bandwidth. Its 67 TFLOPS FP32 dense rating and 989 TFLOPS FP16 dense rating support models that exceed the limits of older hardware. Workloads needing NVLink interconnect and 700W TDP tolerance benefit from this configuration over lower capacity alternatives.

The Quadro P4000 fits environments constrained to 105W TDP and PCIe 3.0 interconnect with 8 GB GDDR5 VRAM. Its 5.3 TFLOPS FP32 rating handles lighter workloads that do not require high bandwidth or modern tensor formats. Legacy systems already equipped for Pascal architecture avoid the need for SXM5 or InfiniBand support present on the H100.