SGLang Community Project Accelerates MoE Support
BanghuaZ · x · 2026-07-13
A community project is adding MoE support to SGLang, with configurable offloading and SM120 kernels.
The post emphasizes this direction is "very worth watching," especially to see if its benchmarks deliver on speed promises. The quote also mentions it is compatible with SGLang, runs 2.7bpw in VRAM, and offloads part of the content to DDR / NVMe for better quality recovery at the cost of speed. The project is inspired by vllm-moet and claims current benchmarks are "very fast."
Related event: SGLang Community Project Adds MoE Support(2 posts)→
More from Infra
- Engram's random reads don't suit SSDs; CPU-memory over NVLink could serve all 72 GPUs — bookwormengr · 2026-09-11
- 80% of the DIY LLM inference hype posters have already quit — it's brutally hard systems work — abhijithneil · 2026-09-11
- Hugging Face's Ultra Scale Playbook: a free book on training LLMs on GPU clusters — mdancho84 · 2026-09-11
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11
- LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
- PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11