MTP tuning can unlock 50%–100% more throughput on some local model setups
bradrlaw · reddit · 2026-07-25
The author benchmarks MTP tuning across several model families on a local setup with a P100 and two V100s, and finds that leaving nmax at defaults can waste a lot of performance.
- Different model families respond very differently to the same settings.
- On some models and GPU/card combinations, proper tuning can recover 50–100% more throughput than the default configuration.
- The post includes benchmark scripts, VRAM impact notes, and a GitHub write-up with results for models such as Gemma and Qwen.
More from Infra
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11
- PyTorch Day Korea 2026 launches first offline conf, CFP closes Sept 13 — PyTorch · 2026-09-11
- Local LLM server dilemma: 4x CMP-170HX (price up 53% in 20 days) vs Mac Studio M5 Ultra — rumboll · 2026-09-11
- llama.cpp lands Flash Attention tuning for RDNA4, big prefill gains on AMD — pmttyji · 2026-09-11