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CuPy
Open-source GPU-accelerated array library providing NumPy/SciPy-compatible interfaces for Python, supporting NVIDIA CUDA and AMD ROCm.
What is CuPy?
Open-source GPU-accelerated array library providing NumPy/SciPy-compatible interfaces for Python, supporting NVIDIA CUDA and AMD ROCm. Installable via pip wheels, Conda-Forge, or source.
Product typeDeveloper Tools & Platforms
Pricing ·
Deployment
APINot available
What teams use CuPy for
Running NumPy/SciPy code on NVIDIA CUDA and AMD ROCm GPUs
GPU-accelerated array computing with drop-in NumPy/SciPy compatibility
Writing and executing custom CUDA kernels from Python
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
