Qwen 3.6 35B MoE benchmarked locally on an RTX 3090 with 3B active params
gpjt · hn · 2026-07-25
A blog post benchmarks Qwen 3.6 35B MoE with 3B active parameters on an RTX 3090.
The focus is on how well a large MoE model can run locally on consumer hardware, making this more of a deployment and inference-cost piece than a pure model announcement. It is useful for people evaluating local setups and quantized performance.
More from Infra
- NVIDIA says Nemotron 3 Ultra hit 97.1% on agentic RTL chip-design tasks — NVIDIAAI · 2026-07-27
- Local Qwen models power a robot that tests 78 smartphones’ battery life — gappyvalley · 2026-07-27
- MiniBot 2.40 adds xAI, HF Studio and vLLM support with inline media tools — Creative-Type9411 · 2026-07-27
- Apple smart glasses, Nvidia-SK AI data center deal, and Ctrip’s RMB 5.179 billion fine headline a tech roundup — APPSO · 2026-07-27
- DeepSeek funding rumor, EU AI transparency rules and OpenAI agent incident make a packed AI news roundup — 创业邦 · 2026-07-27
- QuixiCore argues native quantized kernels beat dequant-then-generic execution — QuixiAI · 2026-07-27