DFlash2 Quantization: Qwen3.8 27B on 2x3090 with 262k Context
luedtek · reddit · 2026-08-20
The author released the DFlash2 quantization (W8I) for Qwen3.8-27B. This optimization allows running the model with 262k context at near-full INT8 precision on two 3090 GPUs, achieving speeds of 140 tps. The release is currently in beta, with further implementation optimizations and benchmarks expected.
More from Infra
- First AA-AgentPerf results: NVIDIA Vera Rubin NVL72 delivers up to 5.7x throughput per MW vs GB300 — ArtificialAnlys · 2026-10-16
- Vera Rubin NVL72 first benchmarks: up to 5.7x throughput per MW vs GB300 — ArtificialAnlys · 2026-10-16
- NVIDIA Vera Rubin NVL72 hits up to 5.7x GB300 throughput per MW on agent benchmark — ArtificialAnlys · 2026-10-16
- 14 open-source LLM observability tools to know in 2026, from Langfuse to Laminar — TheTuringPost · 2026-10-16
- Local AI is a routing problem, not a privacy feature: where each task should run — bigdata · 2026-10-16
- Moving agent work from GPUs to CPUs for durable, predictable actions — cramforce · 2026-10-16