About this skill
Instalación y verificación de ROCm en GPUs AMD (MI300X, MI250, MI100, RX 7900, RX 9070) con detección automática de NVIDIA CUDA y fallback a CPU. Configura drivers y variables de entorno (HIPVISIBLEDEVICES, HSAOVERRIDEGFXVERSION, ROCRVISIBLEDEVICES), verifica torch.cuda.isavailable() para ROCm y CUDA, y ejecuta smoke tests con rocm-smi y rocminfo. Actívalo al instalar ROCm en servidores AMD para AI/ML, configurar GPUs multi-backend, detectar hardware AMD/NVIDIA, validar gfx942/gfx90a, verificar torch.cuda con HIP, o preparar PyTorch multi-GPU. Keywords: rocm, amd, gpu, pytorch, hip, setup, mi300x, detect-gpu, rocm-smi, rocminfo, cuda, check-rocm
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: c004e540308bc20313525e5d7b547d7bedee4241a6eb287ede34ffaef59a4f6a
About this listing
- Category
- General
- 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.