DeepSeek R1 · Speculative Decoding

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 comparability

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/GPU at $0.09 per million tokens; Off delivers 3004 tok/s/GPU at $0.24. MTP is 177% cheaper per token; MTP delivers 179% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 6186 tok/s/GPU for $0.12 per million tokens at 84 tok/s/user on DeepSeek R1 (GB300 NVL72 FP8); Off posts 634 tok/s/GPU for $1.16. MTP is 893% cheaper per token; MTP delivers 875% more tok/s/GPU. 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/GPU, Off hits 357. Per-million costs land at $0.14 and $2.23 respectively. MTP is 1461% cheaper per token; MTP delivers 1318% more tok/s/GPU. 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.)

DeepSeek R1: GB300 NVL72 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
GB300 NVL72 FP8 MTP versus Off speculative decoding comparison for this page's canonical default workload.
Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/gpu)
MTP:8372.6Off:3004.5
MTP:6186.2Off:634.3
MTP:5054.8Off:356.6
Cost ($/M tok)
MTP:$0.088Off:$0.244
MTP:$0.117Off:$1.162
MTP:$0.143Off:$2.230
tok/s/MW
MTP:3986938Off:1430708
MTP:2945820Off:302057
MTP:2407057Off:169796
Concurrency
MTP:~1171Off:~511
MTP:~535Off:~30
MTP:~383Off:~23

Inference Performance

Inference performance metrics across different models, hardware configurations, and serving parameters.

Vendor:
Aggregation:
Spec Decoding: