B200 vs RTX 5090

The FP16 dense figure of 2250 TFLOPS on the B200 exceeds the 209.5 TFLOPS dense figure on the RTX 5090 by more than ten times which supports larger batch sizes during training workloads. FP32 performance shows the RTX 5090 at 104.8 TFLOPS against the B200 at 75 TFLOPS indicating an advantage for the RTX 5090 in certain precision sensitive computations. Memory bandwidth of 8000 GB per second on the B200 compared with 1792 GB per second on the RTX 5090 allows the B200 to sustain higher throughput when moving large tensors between memory and compute units. Sparse FP16 performance reaches 4500 TFLOPS on the B200 versus 419 TFLOPS on the RTX 5090 while dense FP8 reaches 4500 TFLOPS on the B200 versus 419 TFLOPS on the RTX 5090.

The B200 suits deployments that require 180 to 192 GB HBM3e VRAM and 8000 GB per second memory bandwidth for handling models that exceed 32 GB capacity. Its 2250 TFLOPS FP16 dense rating and 1000 W TDP fit environments where maximum tensor throughput takes priority over power draw.

The RTX 5090 fits scenarios that value its 104.8 TFLOPS FP32 rating and 575 W TDP within single node PCIe 5.0 systems. Its 32 GB GDDR7 configuration and 1792 GB per second bandwidth support workloads that remain within those memory limits while benefiting from lower overall power consumption.