NVSHMEM is a parallel programming interface based on OpenSHMEM that provides efficient and scalable communication for NVIDIA GPU clusters. NVSHMEM creates a global address space for data that spans the memory of multiple GPUs and can be accessed with fine-grained GPU-initiated operations, CPU-initiated operations, and operations on CUDA streams.
Metadata
Release files for nvidia-nvshmem-cu13 3.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nvidia_nvshmem_cu13-3.8.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
| nvidia_nvshmem_cu13-3.8.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details |
Total release size: 364.0 MB
Release files / nvidia_nvshmem_cu13-3.8.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | nvidia_nvshmem_cu13-3.8.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 182.1 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.21
|
Release files / nvidia_nvshmem_cu13-3.8.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | nvidia_nvshmem_cu13-3.8.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 181.9 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
49a3a17ee2e50d4cdf0a18716d8ded8be8248430f768c87f6807d431681645c2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.21
|