Install and verify cuPyNumeric for Python – requirements, commands, verification. Source builds are out of scope.
Install and verify cuPyNumeric for Python - requirements, commands, verification. Source builds are out of scope.This is the skill's description: the text your AI reads to decide when the skill applies.
nvidia-cupynumeric-install/SKILL.md
---
name: cupynumeric-install
description: Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope.
license: CC-BY-4.0 OR Apache-2.0
compatibility: linux-x86_64, linux-aarch64, darwin-aarch64, wsl-x86_64
metadata:
author: "NVIDIA Corporation <legate@nvidia.com>"
version: "2.0.0"
tags:
- cupynumeric
- legate
- numpy
- installation
- conda
- gpu
- distributed-computing
upstream: https://github.com/nv-legate/cupynumeric
docs: https://docs.nvidia.com/cupynumeric/latest/installation.html
---
# cuPyNumeric Install (user)
## Purpose
Use this skill to install cuPyNumeric for *use* from Python and to verify the install actually works (including GPU usage). Apply it whenever a user wants cuPyNumeric running via conda or pip. Do not use it to build from source (to modify or contribute) — that is out of scope.