cuopt-installation-common
$
npx mdskill add NVIDIA/skills/cuopt-installation-commonVerify GPU and CUDA prerequisites before cuOpt deployment.
- Confirms hardware compatibility and software versions for installation.
- Checks NVIDIA driver, CUDA runtime, and compute capability.
- Asks about environment type, usage mode, and package manager.
- Delivers a checklist of required system and environment details.
SKILL.md
.github/skills/cuopt-installation-commonView on GitHub ↗
--- name: cuopt-installation-common version: "26.06.00" description: Install cuOpt — system and environment requirements only. Domain concepts; no install commands or interface guidance. --- # cuOpt Installation (common) Domain concepts for installing and running cuOpt. No install commands or interface details here. ## System requirements - **GPU**: NVIDIA with Compute Capability ≥ 7.0 (Volta or newer). Examples: V100, A100, H100, RTX 20xx/30xx/40xx. Not supported: GTX 10xx (Pascal). - **CUDA**: 12.x or 13.x. Package and runtime must match (e.g. cuopt built for CUDA 12 with a CUDA 12 driver). - **Driver**: Compatible NVIDIA driver for the CUDA version in use. ## Required questions (environment) Ask these if not already clear: 1. **Environment** — Local machine with GPU, cloud instance, Docker/Kubernetes, or no GPU (need remote/server)? 2. **CUDA version** — What is installed or planned? (e.g. `nvcc --version`, `nvidia-smi`.) 3. **Usage** — In-process (library/API) vs server (REST)? Which language or runtime (Python, C, server)? 4. **Package manager** — pip, conda, or Docker preferred? ## Notes - Python API and C API are separate installables; having one does not provide the other. - Server deployment typically uses Docker or a dedicated server package; client can be any language.
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