DFlash Boosts Local Qwen Inference Speed by 2.2x
techNmak · x · 2026-07-14
This repost summarizes Atomic Chat's tests on DFlash, which significantly accelerates the locally run Qwen3.6-27B. ### Benchmark Results - Baseline: 44 tok/s, 1.00x - MTP: 65 tok/s, 1.45x, 71% accepted - DFlash: 98 tok/s, 2.20x, 30% accepted ### Mechanism - Baseline: Generates 1 token per step - MTP: Model internally guesses 3 tokens at once - DFlash: A separate small model writes 15 tokens at once, verified by the large model ### Phenomenon The hit rate is significantly higher for repetitive tasks like JSON generation, pushing speeds up to 152 tok/s (3.4x). However, the performance gain drops for story-generation tasks.
Related event: DFlash Significantly Boosts Local Qwen Inference Speed(2 posts)→
More from Infra
- Local AI may pay back in 6–7 years and cut long-term costs by 30–40% — DavidLinthicum · 2026-07-21
- TSMC reportedly plans up to 10% chipmaking price hikes in 2027 — kimmonismus · 2026-07-21
- More open models and llama.cpp updates are coming, says Merve Noyan — mervenoyann · 2026-07-21
- Why adding a second LLM provider breaks more than the API surface — Ok_Extension6373 · 2026-07-21
- UK AI datacentres face backlash over heat, noise and land use — nordicinst · 2026-07-21
- Fluidstack raises $830M at $7.5B valuation as Anthropic backs a $50B compute buildout — rohanpaul_ai · 2026-07-21