A30 vs B200

FP16 dense throughput on the B200 reaches 2250 TFLOPS while the A30 delivers 165 TFLOPS dense. The same pattern holds for FP16 with sparsity where the B200 achieves 4500 TFLOPS against 330 TFLOPS on the A30. FP32 figures follow the same ratio with 75 TFLOPS on the B200 and 10.3 TFLOPS on the A30. Memory bandwidth of 8000 GB/s on the B200 compared with 933 GB/s on the A30 permits substantially larger batch sizes during both training and inference passes. INT8 dense performance shows 4500 TOPS on the B200 versus 330 TOPS on the A30. The higher TDP of 1000 W on the B200 versus 165 W on the A30 accompanies these gains in arithmetic throughput and data movement rates.

The A30 suits deployments that require 24 GB HBM2 VRAM together with 165 W TDP and PCIe connectivity. Workloads that fit within these limits avoid the 1000 W power draw of the B200. The A30 also supplies 10.3 TFLOPS FP32 and 933 GB/s bandwidth for tasks that do not demand the 75 TFLOPS FP32 or 8000 GB/s bandwidth of the B200.

The B200 fits scenarios that need 180 to 192 GB HBM3e VRAM and 8000 GB/s bandwidth along with 2250 TFLOPS FP16 dense. Applications that scale with 4500 TFLOPS FP16 with sparsity or 75 TFLOPS FP32 benefit from these specifications. The B200 also provides SXM or NVL form factors and PCIe 6.0 interconnect when the A30 PCIe 4.0 interface proves insufficient.