DeepSeek V4 Pro 1.6T — GB200 NVL72 vs MI355X
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on DeepSeek V4 Pro 1.6T. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
Throughput at 37 tok/s/user on DeepSeek V4 Pro 1.6T: GB200 NVL72 hits 9606 tok/s/GPU, MI355X hits 4265. Per-million costs land at $0.06 and $0.10 respectively. GB200 NVL72 is 51% cheaper per token; GB200 NVL72 delivers 125% more tok/s/GPU.
GB200 NVL72 / MI355X on DeepSeek V4 Pro 1.6T at 68 tok/s/user: 8901 / 1724 tok/s/GPU, $0.07 / $0.24 per million tokens. GB200 NVL72 is 246% cheaper per token; GB200 NVL72 delivers 416% more tok/s/GPU.
Toward the upper edge of the 6–130 tok/s/user interactivity band, at 100 tok/s/user on DeepSeek V4 Pro 1.6T: GB200 NVL72 runs 6912 tok/s/GPU at $0.09/M tokens, MI355X runs 841 at $0.49/M. GB200 NVL72 is 450% cheaper per token; GB200 NVL72 delivers 722% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:9605.6MI355X:4264.7 | GB200 NVL72:8900.9MI355X:1724.0 | GB200 NVL72:6911.8MI355X:840.5 |
| Cost ($/M tok) | GB200 NVL72:$0.064MI355X:$0.096 | GB200 NVL72:$0.069MI355X:$0.239 | GB200 NVL72:$0.089MI355X:$0.489 |
| tok/s/MW | GB200 NVL72:5136680MI355X:2040546 | GB200 NVL72:4759857MI355X:824894 | GB200 NVL72:3696171MI355X:402167 |
| Concurrency | GB200 NVL72:~13489MI355X:~512 | GB200 NVL72:~7562MI355X:~32 | GB200 NVL72:~2340MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.