NVIDIA Blackwell B200 vs AMD MI350 vs Google TPU v6e – 2025’s Ultimate AI Accelerator Showdown
NVIDIA’s Blackwell B200 features 180 GB of HBM3e memory per GPU with up to 8 TB/s bandwidth, 18 PFLOPS FP4 tensor throughput, 9 PFLOPS FP8, and 4.5 PFLOPS FP16, plus a second-generation Transformer Engine. NVIDIA claims DGX B200 delivers about 3× the training performance and 15× the inference performance of DGX H100 in end-to-end workflows. Google’s TPU v6e, codenamed Trillium, delivers 918 TFLOPS BF16 per chip, 1.836 PFLOPS INT8, 32 GB of HBM per chip, and 1.6 TB/s bandwidth per chip, with a 256-chip pod delivering about 234.9 PFLOPS BF16. AMD Instinct MI350X/MI355X offer 288 GB of HBM3e, up to