Docker configuration for running VLLM on dual DGX Sparks
eugr/spark-vllm-docker is a Docker setup for running vLLM, an inference server for serving AI models, on DGX Spark computers. It supports single machines and multi-node clusters for model inference, with startup scripts and configuration for distributed hardware. The catalogue instruction provides an operational runbook for preparing hosts and running repository recipes.
Latest release prebuilt-vllm-current — Prebuilt vLLM Wheels (0.33.0rc1.dev771+g2d6dae2d6.d20261104) - DGX Spark only · 4 Nov 2026
1 file for Codex and OpenCode: spark-vllm-docker AGENTS.md — 346 tokens loaded in every session.
AGENTS.md A 346 tok These files are eugr/spark-vllm-docker's own configuration — they tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.