GB300 NVL72 FP8: MTP vs Off Speculative Decoding
Speculative decoding comparison of MTP versus Off on GB300 NVL72 FP8 (NVIDIA Blackwell) running DeepSeek R1. Throughput, cost, and interactivity differences across LLM workloads. Use the chart controls below to switch sequences and metrics — same interactions as the main inference chart.
MTP acceptance-rate implementations differ across inference engines. Points from different engines are not directly comparable on the same curve — throughput and cost at matched interactivity may reflect engine-level differences rather than pure speculative decoding gains. Interpret cross-engine comparisons with caution.
At 60 tok/s/user on DeepSeek R1 (GB300 NVL72 FP8), MTP delivers 8373 tok/s/chip at $0.08 per million tokens; Off delivers 3004 tok/s/chip at $0.21. MTP is 179% cheaper per token; MTP delivers 179% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.
MTP posts 6186 tok/s/chip for $0.10 per million tokens at 84 tok/s/user on DeepSeek R1 (GB300 NVL72 FP8); Off posts 634 tok/s/chip for $1.01. MTP is 875% cheaper per token; MTP delivers 875% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.
Throughput at 107 tok/s/user on DeepSeek R1 (GB300 NVL72 FP8): MTP hits 5055 tok/s/chip, Off hits 357. Per-million costs land at $0.13 and $1.80 respectively. MTP is 1318% cheaper per token; MTP delivers 1318% more tok/s/chip. Speculative decoding trades extra compute on draft tokens for fewer decoding steps — the payoff depends on sequence length and batch size. (Numbers reflect this URL's pinned 8k/1k · fp8 workload — changing sequence or model updates both the table and chart; the table stays pinned to this page's precision, so precision toggles in the controls affect the chart only.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | MTP:8372.6Off:3004.5 | MTP:6186.2Off:634.3 | MTP:5054.8Off:356.6 |
| Cost ($/M tok) | MTP:$0.077Off:$0.214 | MTP:$0.104Off:$1.012 | MTP:$0.127Off:$1.800 |
| tok/s/MW | MTP:3949326Off:1417211 | MTP:2918029Off:299207 | MTP:2384349Off:168194 |
| Concurrency | MTP:~1171Off:~511 | MTP:~535Off:~30 | MTP:~383Off:~23 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.