A16 vs H100

The FP16 dense rating of 17.9 TFLOPS on the A16 versus 989 TFLOPS on the H100 shows that training workloads complete far fewer operations per second on the A16. Inference tasks using the same dense FP16 metric likewise run at a lower rate on the A16. The FP16 figure with sparsity of 35.9 TFLOPS on the A16 versus 1979 TFLOPS on the H100 maintains the same relative difference when sparsity is applied. Memory bandwidth of 200 GB/s on the A16 restricts batch sizes compared with 3350 GB/s on the H100. Larger batches become feasible on the H100 because data movement keeps pace with the 989 TFLOPS dense FP16 rate. The A16 TDP of 250W limits sustained operation relative to the 700W TDP of the H100.

The A16 suits deployments where the 250W TDP must be observed and where 16 GB GDDR6 memory at 200 GB/s bandwidth meets workload needs. Its PCIe form factor and 4.5 TFLOPS FP32 rating fit installations that run smaller scientific computing jobs without requiring higher throughput.

The H100 fits workloads that require the 989 TFLOPS dense FP16 rating or the 3350 GB/s memory bandwidth to support large batch sizes. Its 80 to 94 GB HBM3 capacity and 67 TFLOPS FP32 rating enable training and inference at scales beyond the limits of the A16.