localairecipes launch configs for local inference

Working launch recipes for local LLM inference

Engine configs (vLLM, SGLang, llama.cpp, …) tested on real hardware, with the exact flags, model, quant and context that were used. Copy one, run it, or hand it to your agent. Search or refine below; every recipe on the site is listed here.

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CMP 170HX 64GB (Ampere) (31)RTX PRO 6000 Blackwell 96GB (18)DGX Spark 128GB (Blackwell) (14)RTX 3090 24GB (Ampere) (7)Radeon AI Pro R9700 32GB (AMD) (2)DGX Station (GB300) 288GB (Blackwell) (1)RTX 5090 32GB (Blackwell) (1)
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Community builds

Ampere (1)

Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.

Qwen3.8-Flash-Next W4A16 2x CMP 170HX PP2 MTP5 PLE (AlexBrandes)

by AlexBrandes (recipe, fork, image, measurements)↗, AlexBrandes (vllm fork: PP + NVMe-mmapped PLE, Mamba PP state, draft lm_head, graph-safe PLE, bounded prefill)↗, polyuij42-del (community CMP 170HX W4A16 work the fork builds on)↗, nguyenthimy2022kg-alt (community SM80 170HX work the fork builds on)↗, MiaAI-Lab (sparkDash benchmark protocol @ 3e6d4ef)↗, Intel (INT4 W4A16 AutoRound quant)↗ · listed by localai-recipes

Recipe by AlexBrandes. Qwen3.8-Flash-Next (Intel/Qwen3.8-Flash-Next-W4A16-AutoRound @ 4c67bf68) on two NVIDIA CMP 170HX cards in PIPELINE parallel (PP2, layer split 26/22) with a v

Qwen3.8-Flash-Next PP vllm +2