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 44 tok/s/user as the target on DeepSeek V4 Pro 1.6T, GB300 NVL72 produces 11642 tok/s/GPU ($0.06 per million tokens) and MI355X produces 3048 ($0.14). GB300 NVL72 is 115% cheaper per token; GB300 NVL72 delivers 282% more tok/s/GPU.
At 73 tok/s/user interactivity on DeepSeek V4 Pro 1.6T, GB300 NVL72 delivers 9256 tok/s/GPU at $0.08 per million tokens; MI355X delivers 1369 tok/s/GPU at $0.30. GB300 NVL72 is 277% cheaper per token; GB300 NVL72 delivers 576% more tok/s/GPU at this point.
GB300 NVL72 posts 6567 tok/s/GPU for $0.11 per million tokens at 102 tok/s/user on DeepSeek V4 Pro 1.6T; MI355X posts 815 tok/s/GPU for $0.50. GB300 NVL72 is 347% cheaper per token; GB300 NVL72 delivers 706% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB300 NVL72:11642.1MI355X:3047.8 | GB300 NVL72:9255.8MI355X:1369.2 | GB300 NVL72:6567.0MI355X:814.8 |
| Cost ($/M tok) | GB300 NVL72:$0.063MI355X:$0.136 | GB300 NVL72:$0.080MI355X:$0.300 | GB300 NVL72:$0.113MI355X:$0.504 |
| tok/s/MW | GB300 NVL72:5491567MI355X:1458279 | GB300 NVL72:4365947MI355X:655106 | GB300 NVL72:3097648MI355X:389857 |
| Concurrency | GB300 NVL72:~4152MI355X:~121 | GB300 NVL72:~1206MI355X:~20 | GB300 NVL72:~581MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.