RTX 3090 mini-bench: ninfer cuts TTFT from 3.4s to 29ms, prompt processing ~76x faster
milkipedia · reddit · 2026-09-11
A rigorous RTX 3090 mini-benchmark compares the author's ninfer-3090 stack against llama.cpp on two Qwen models, with careful methodology (3 repeats, token-weighted medians, nonce-based cache busting, untimed warmups, server-side timing).
Results:
- Qwen3.6-35B-A3B: TTFT 29ms vs 3410ms; prompt processing 185,339 vs 2,440 tok/s (76x); generation 170.7 vs 148.6 tok/s.
- Qwen3.8-27B: TTFT 27ms vs 8160ms; PP 187,912 vs 1,013 tok/s; generation 34.9 vs 38.5 tok/s (slightly slower).
The headline: ninfer collapses time-to-first-token from seconds to tens of milliseconds and boosts prompt throughput by 1–2 orders of magnitude, transforming long-prompt interactivity; generation speed is a wash. The author published the full 7-prompt test set (400–12,900 tokens), configs (Ubuntu 24.04, GGUF IQ4XS/Q4KM baselines), and invites reproduction and critique.
More from Infra
- Nearly half of Claude revenue now flows through cloud marketplace commitments, up from 11% — BenBajarin · 2026-10-26
- Anthropic ARR goes vertical after price cuts: tokens up 4x, $100B+ ARR back in play — GavinSBaker · 2026-10-26
- Alex Banks argues power caps GPU supply, real risk is demand cooling first — thealexbanks · 2026-10-26
- Analyst: Ant has the most fungible AI workload of any model provider today — BenBajarin · 2026-10-26
- Anthropic S-1: training infra edge cut per-task cost 40% and doubled revenue growth — BenBajarin · 2026-10-26
- Rewriting scaling law study: optimal synthetic data share rises from 10% to 32% with compute — heghbalz · 2026-10-26