DeepSeek R1 · Speculative Decoding

GB200 NVL72 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB200 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.

Near the low end of the 47–130 tok/s/user interactivity band, at 68 tok/s/user on DeepSeek R1 (GB200 NVL72 FP8): MTP runs 6008 tok/s/chip at $0.09/M tokens, Off runs 1533 at $0.34/M. MTP is 292% cheaper per token; MTP delivers 292% more tok/s/chip. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 89 tok/s/user on DeepSeek R1 (GB200 NVL72 FP8), MTP delivers 5149 tok/s/chip at $0.10 per million tokens; Off delivers 336 tok/s/chip at $1.54. MTP is 1431% cheaper per token; MTP delivers 1431% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 4430 tok/s/chip for $0.12 per million tokens at 110 tok/s/user on DeepSeek R1 (GB200 NVL72 FP8); Off posts 283 tok/s/chip for $1.83. MTP is 1465% cheaper per token; MTP delivers 1465% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level. (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: GB200 NVL72 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
GB200 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/chip)
MTP:6007.8Off:1532.6
MTP:5148.6Off:336.3
MTP:4429.8Off:283.1
Cost ($/M tok)
MTP:$0.086Off:$0.337
MTP:$0.100Off:$1.536
MTP:$0.117Off:$1.825
tok/s/MW
MTP:3212713Off:819566
MTP:2753252Off:179847
MTP:2368862Off:151379
Concurrency
MTP:~666Off:~128
MTP:~368Off:~10
MTP:~333Off:~17

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.

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