NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast, and reduce-scatter. It has been optimized to achieve high bandwidth on any platform using PCIe, NVLink, NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets.
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Release files for nvidia-nccl-cu13 2.32.3
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Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nvidia_nccl_cu13-2.32.3-py3-none-manylinux_2_27_x86_64.whl | Python 3 | none | Linux glibc 2.27+ x86-64 | Details |
| nvidia_nccl_cu13-2.32.3-py3-none-manylinux_2_27_aarch64.whl | Python 3 | none | Linux glibc 2.27+ ARM64 | Details |
Total release size: 610.2 MB
Release files / nvidia_nccl_cu13-2.32.3-py3-none-manylinux_2_27_x86_64.whl
| Download URL | nvidia_nccl_cu13-2.32.3-py3-none-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 305.1 MB |
| Tags | Linux glibc 2.27+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.10.21
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Release files / nvidia_nccl_cu13-2.32.3-py3-none-manylinux_2_27_aarch64.whl
| Download URL | nvidia_nccl_cu13-2.32.3-py3-none-manylinux_2_27_aarch64.whl |
|---|---|
| Size | 305.1 MB |
| Tags | Linux glibc 2.27+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.21
|
