DeepSeek V4 Pro 1.6T — GB300 NVL72 vs MI355X
Head-to-head AI inference benchmark comparison of GB300 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.
Setting 41 tok/s/user as the target on DeepSeek V4 Pro 1.6T, GB300 NVL72 produces 11812 tok/s/GPU ($0.06 per million tokens) and MI355X produces 1607 ($0.26). GB300 NVL72 is 312% cheaper per token; GB300 NVL72 delivers 635% more tok/s/GPU.
At 67 tok/s/user interactivity on DeepSeek V4 Pro 1.6T, GB300 NVL72 delivers 9802 tok/s/GPU at $0.08 per million tokens; MI355X delivers 963 tok/s/GPU at $0.43. GB300 NVL72 is 473% cheaper per token; GB300 NVL72 delivers 918% more tok/s/GPU at this point.
GB300 NVL72 posts 6811 tok/s/GPU for $0.11 per million tokens at 94 tok/s/user on DeepSeek V4 Pro 1.6T; MI355X posts 554 tok/s/GPU for $0.76. GB300 NVL72 is 605% cheaper per token; GB300 NVL72 delivers 1130% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB300 NVL72:11812.5MI355X:1606.5 | GB300 NVL72:9802.0MI355X:962.9 | GB300 NVL72:6811.1MI355X:553.7 |
| Cost ($/M tok) | GB300 NVL72:$0.062MI355X:$0.257 | GB300 NVL72:$0.075MI355X:$0.431 | GB300 NVL72:$0.108MI355X:$0.764 |
| tok/s/MW | GB300 NVL72:5571916MI355X:768671 | GB300 NVL72:4623605MI355X:460731 | GB300 NVL72:3212788MI355X:264945 |
| Concurrency | GB300 NVL72:~5450MI355X:~78 | GB300 NVL72:~1025MI355X:~13 | GB300 NVL72:~532MI355X:~6 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.