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.