DFlash Merges into llama.cpp for 4.44x Faster Local Inference
FantasticNature7590 · reddit · 2026-07-08
Developers tested the newly merged DFlash speculative decoding (PR #22105) in llama.cpp on an RTX 6000 PRO. Running Qwen 3.6 27B at a 36K context, it proved to be 4.44 times faster than the previous best MTP. Developed by z-lab, DFlash uses a block diffusion drafter that fills a 15-token block at once instead of generating tokens individually. It can be deployed as a Llama server via a one-click Docker setup.
More from Infra
- Strangeworks launches Aura to turn enterprise ops into production optimization systems — whurley · 2026-07-22
- Graph workload 854.graph500 enters SPEC CPU 2026 as a new CPU benchmark — Prof_DavidBader · 2026-07-22
- HilbertRaum open-sources a fully local AI chat and document analysis app for private use — Vladowski · 2026-07-22
- Hybrid and local inference are emerging as a response to AI energy and token costs — dmitry140 · 2026-07-22
- NVIDIA details Vera CPU with 2x performance claims and a 22,000-core rack — ryanshrout · 2026-07-22
- NVIDIA says Vera Rubin NVL72 delivers 10x more tokens per megawatt than Blackwell — nvidia · 2026-07-22