B200 vs MI355X

The FP16 dense figure of 2250 TFLOPS on the B200 versus 2500 TFLOPS on the MI355X indicates the MI355X processes matrix operations 11 percent faster in dense mode for training workloads. FP32 performance shows a larger gap at 75 TFLOPS for the B200 against 157.3 TFLOPS for the MI355X which favors the MI355X in scientific simulations that rely on single precision calculations. Memory bandwidth remains equal at 8000 GB/s for both so batch size limits depend instead on available VRAM where the MI355X 288 GB capacity supports larger batches than the B200 180-192 GB range. Sparse mode FP16 reaches 4500 TFLOPS on the B200 and 5000 TFLOPS on the MI355X maintaining the same relative advantage when sparsity applies. FP8 dense values follow the pattern at 4500 TFLOPS for the B200 and 5000 TFLOPS for the MI355X while FP8 with sparsity reaches 9000 TFLOPS and 10100 TFLOPS respectively.

The B200 suits environments where power constraints limit total consumption to 1000W per unit. Its NVLink interconnect supports tight coupling in multi GPU setups that require the listed 8000 GB/s bandwidth without exceeding the 1000W TDP. Lower FP32 at 75 TFLOPS still meets needs when dense FP16 at 2250 TFLOPS handles the primary workload.

The MI355X fits cases that demand 288 GB VRAM to accommodate larger models during inference or training. Its 157.3 TFLOPS FP32 enables faster execution of precision sensitive tasks compared to the 75 TFLOPS of the alternative. Higher dense FP16 at 2500 TFLOPS further accelerates workloads that stay within the 1400W TDP envelope.