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 43 tok/s/user as the target on DeepSeek V4 Pro 1.6T, GB300 NVL72 produces 11707 tok/s/chip ($0.05 per million tokens) and MI355X produces 3219 ($0.13). GB300 NVL72 is 138% cheaper per token; GB300 NVL72 delivers 264% more tok/s/chip.
At 73 tok/s/user interactivity on DeepSeek V4 Pro 1.6T, GB300 NVL72 delivers 9256 tok/s/chip at $0.07 per million tokens; MI355X delivers 1664 tok/s/chip at $0.25. GB300 NVL72 is 260% cheaper per token; GB300 NVL72 delivers 456% more tok/s/chip at this point.
GB300 NVL72 posts 6534 tok/s/chip for $0.10 per million tokens at 103 tok/s/user on DeepSeek V4 Pro 1.6T; MI355X posts 793 tok/s/chip for $0.52. GB300 NVL72 is 429% cheaper per token; GB300 NVL72 delivers 724% more tok/s/chip. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB300 NVL72:11706.7MI355X:3219.4 | GB300 NVL72:9255.8MI355X:1664.3 | GB300 NVL72:6533.9MI355X:793.0 |
| Cost ($/M tok) | GB300 NVL72:$0.055MI355X:$0.130 | GB300 NVL72:$0.069MI355X:$0.249 | GB300 NVL72:$0.099MI355X:$0.523 |
| tok/s/MW | GB300 NVL72:5522011MI355X:1540404 | GB300 NVL72:4365947MI355X:796312 | GB300 NVL72:3082049MI355X:379414 |
| Concurrency | GB300 NVL72:~4613MI355X:~149 | GB300 NVL72:~1206MI355X:~29 | GB300 NVL72:~587MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.