Dev says local sglang with Qwen 27B beats cloud models for good
gnukeith · x · 2026-08-19
A developer says that after running Qwen3 27B and Nemotron 3.5 Lightning locally with sglang, he genuinely doesn't think he can go back to cloud-based models — a signal of how far open-weight models plus local inference stacks like sglang have come.
More from Infra
- Llama-Mobile: 2.7-Bit Quantization Shrinks Llama 3.2 Vision 11B to 3.7GB for Phones — Luka Ribar · 2026-08-24
- DSCO Router Launches Unified Gateway for Multi-Model Routing with BYOK Support — arthurcolle · 2026-08-24
- Open Source RobotSoul: Persistent Identity for Agents After Context Resets — robauto-dot-ai · 2026-08-24
- Offloading MoE models to RAM causes slow prefill speeds — former_farmer · 2026-08-24
- Etched Raises $1B Led by Jane Street to Validate Architecture-Agnostic AI Chips — TheTuringPost · 2026-08-24
- ConvRot Quant joins llama-cpp: Q6 accuracy nears Q8 quality — giveen · 2026-08-24