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) (32)✓ RTX PRO 6000 Blackwell 96GB (18)DGX Spark 128GB (Blackwell) (14)RTX 3090 24GB (Ampere) (7)✓ Radeon AI Pro R9700 32GB (AMD) (2)✓ RTX 5090 32GB (Blackwell) (2)DGX Station (GB300) 288GB (Blackwell) (1)RTX 4090 24GB (Ada Lovelace) (1)RTX PRO 6000 Blackwell 96GB: Any4 cards (5)3 cards (1)2 cards (5)1 card (7)Radeon AI Pro R9700 32GB (AMD): Any2 cards (1)1 card (1)RTX 5090 32GB (Blackwell): Any2 cards (1)1 card (1)
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3 recipes · page 1 of 1

Community builds

Blackwell (2)

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

DeepSeek-V4.1-Flash-1017 streaming NVMe stack on 1x RTX 5090 (fronteagle739)

by fronteagle739 - recipe, streaming stack and measurements↗, llama.cpp / ggml (MIT)↗, antirez/ds4 (MIT)↗, IngeniousIdiocy/ds4-v41-m3ultra (MIT)↗, DeepSeek - DeepSeek-V4.1-Flash-1017 base model↗ · listed by localai-recipes

Streams a 483 GiB DeepSeek-V4.1-Flash-1017 pack from NVMe straight into one 32 GB RTX 5090, so a frontier-size MoE runs on a desktop with 32 GB of VRAM and 32 GB of system RAM. Win

DeepSeek-V4.1-Flash-1017 llama.cpp NVIDIA RTX 5090 32GB ×1 (Blackwell) 17.8 tok/s decode · 3356 tok/s prefill
DeepSeek-V4.1-Flash-1017 Kraken TP3 3x RTX PRO 6000 Blackwell

by BoxTops4Coochie (recipe, TP3 port, measurements)↗, infernix - ds41f-tp3 expert-parking design on karmic-kraken↗, Local Inference Lab - vLLM karmic-kraken fork + FlashInfer b12x kernels↗, DeepSeek - DeepSeek-V4.1-Flash-1017 base model (MIT)↗ · listed by localai-recipes

DeepSeek-V4.1-Flash-1017 TP3 on three 96 GB RTX PRO 6000 Blackwell cards, full 1M context, DeepSeek's original weights (FP8 dense + MXFP4 experts, nothing requantized). Expert laye

DeepSeek-V4.1-Flash-1017 TP vllm +2

AMD (1)

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

Qwen3.8-27B MXFP4 DFlash2 1x Radeon AI PRO R9700 WSL2 radiance

by mike2153 (recipe, WSL2 installer, benchmarks)↗, StillDeadcode (vllm-radiance image + libr4d kernels)↗, ggz14 (radiance-vllm-mxfp4 fork)↗, magiccodingman (radiance RDNA4 kernel lineage), Inco AI / tcclaviger (DFlash2 FP8 drafter requant)↗, AMD (official Qwen3.8-27B Quark AWQ-MXFP4 checkpoint + ROCm librocdxg)↗ · listed by localai-recipes

Qwen3.8-27B on a single AMD Radeon AI PRO R9700 (RDNA4 gfx1201, 32 GB) under Windows 11 + WSL2: vLLM radiance 0.9.3 fork pinned by image digest with AMD's official Quark AWQ-MXFP4

Qwen3.8-27B vllm AMD Radeon AI Pro R9700 32GB ×1 115 tok/s decode · 2762 tok/s prefill