--- title: "CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access" url: https://daily.dev/posts/cuda-python-1-0-stable-apis-one-foundation-full-platform-access-hoqtocim9 source_url: https://developer.nvidia.com/blog/cuda-python-1-0-stable-apis-one-foundation-full-platform-access type: article source: "NVIDIA Developer" published: 2026-08-25T15:01:56.118Z updated: 2026-08-25T15:11:04.860Z tags: ["python", "nvidia", "gpu", "cuda"] reading_time: 12 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access **[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 12 min read · 0 upvotes · 0 comments ## Summary CUDA Python has reached a 1.0 milestone alongside CUDA 13.3, consolidating cuda.core, cuda.compute, cuda.bindings, cuda-pathfinder, and nvmath-python into a single officially supported, NVIDIA-maintained way to reach the CUDA platform from Python. The release commits these components to semantic versioning: breaking changes only in major releases, deprecation before removal, and predictable upgrade paths. cuda.core turns CUDA's runtime concepts (devices, streams, buffers) into standard Python objects, giving libraries like Numba, cuda.compute, CuPy, PyTorch, NCCL4Py, and NVSHMEM4P a shared foundation so they can interoperate on the same GPU memory without copying. New cuda.core capabilities include green contexts for SM partitioning, process checkpointing, and inter-process memory sharing. Installation is a single pip command, and getting started guidance is organized by tier: RAPIDS for data science, cuda.compute for optimized algorithms, Numba/Numba CUDA MLIR for custom kernels, and cuda.core/cuda.bindings for low-level driver access. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is included in the CUDA Python 1.0 release with CUDA 13.3? CUDA Python 1.0 bundles cuda.core 1.0.0 for Pythonic CUDA runtime access, cuda.compute 1.0.0 for CCCL parallel algorithms, cuda.bindings 13.3.0 for low-level 1:1 CUDA C API bindings, cuda-pathfinder for locating installed CUDA components, and nvmath-python 1.0 for NVIDIA's math libraries. Each component is versioned independently rather than sharing the 1.0 number, and the milestone commits them to semantic versioning with deprecation before removal. _Developers standardizing GPU stacks can track how each CUDA Python component evolves through daily.dev._ ### How do I install the CUDA Python 1.0 stack with pip? Run pip install cuda-python cuda-cccl numba-cuda-mlir[cu13] to get cuda.core, cuda.compute, cuda.bindings, cuda-pathfinder, and the MLIR-based Numba backend. Install nvmath-python separately with pip install nvmath-python[cu13]. Only an up-to-date NVIDIA driver is required; a separate CUDA Toolkit installation is generally not needed. _Anyone setting up a GPU-accelerated Python environment can follow updates like this via daily.dev._ ### What are green contexts in cuda.core and why do they matter? Green contexts let a GPU's streaming multiprocessors be partitioned into disjoint groups so latency-sensitive kernels are shielded from long-running throughput kernels running in the same process. Previously, each library that wanted this had to bind and expose the capability independently; with cuda.core 1.0 it is implemented once and any library built on cuda.core can use it, alongside process checkpointing and inter-process GPU memory sharing. _Engineers tuning GPU workload isolation can follow deep dives on features like this through daily.dev._ ## Similar posts on daily.dev - [CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features](https://daily.dev/posts/cuda-13-2-introduces-enhanced-cuda-tile-support-and-new-python-features-sm7xvcrko) · NVIDIA Developer · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#nvidia](https://daily.dev/tags/nvidia), [#gpu](https://daily.dev/tags/gpu), [#cuda](https://daily.dev/tags/cuda) [View this post on daily.dev](https://daily.dev/posts/cuda-python-1-0-stable-apis-one-foundation-full-platform-access-hoqtocim9)