Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Despliegue de vLLM para inferencia LLM/VLM en GPUs AMD ROCm o NVIDIA CUDA con detección automática de backend. Cubre instalación, configuración Docker, selección de modelos multimodales (InternVL2, Qwen2-VL, LLaVA), optimización de rendimiento y tests de inferencia. Útil cuando necesites servir LLMs o VLMs con cualquier GPU disponible, configurar vLLM para ROCm o CUDA, hacer inferencia multimodal, o desplegar servidores compatibles con OpenAI API. Keywords: vllm, rocm, cuda, amd, nvidia, llm, vlm, multimodal, internvl, qwen, llava, mi300, a100, h100, inference, deployment, openai-api, docker
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 2775413fdd8e6623055b2eb50cab7c094e7e80e17be7fd8fe97130f517a02433
About this listing
- Category
- Engineering
- Reported license
- Apache-2.0
- Listing language (estimated)
- Spanish
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.