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.

Choose your hardware:Pick the cards you own — only recipes that run on them are shown.
CMP 170HX 64GB (Ampere) (35)RTX PRO 6000 Blackwell 96GB (20)DGX Spark 128GB (Blackwell) (16)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)
Refine

Source:

Engine
Model
Quant
Storage requirement
Feature tags

Reset

Filters: flare clear all

1 recipe · page 1 of 1

Community builds

Blackwell (1)

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

DeepSeek-V4.1-Flash-1017 Flare TP3 3x RTX PRO 6000 Blackwell

by BoxTops4Coochie (recipe, Flare TP3 fork, measurements)↗, NVIDIA - Flare runtime + MXFP4 Engram tables↗, Local Inference Lab - FlashInfer b12x kernels↗, DeepSeek - DeepSeek-V4.1-Flash-1017 base model (MIT)↗ · listed by localai-recipes

NVIDIA Flare TP3 recipe for DeepSeek-V4.1-Flash-1017 on 3x 96 GB RTX PRO 6000 Blackwell, full 1M-token context: personal Flare fork (main @ 78b18b1c + source.patch) adds a merged V

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