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.
Metadata
Release files for nvidia-nccl-cu12 2.32.3
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_nccl_cu12-2.32.3-py3-none-manylinux_2_27_x86_64.whl | Python 3 | none | Linux glibc 2.27+ x86-64 | Details |
| nvidia_nccl_cu12-2.32.3-py3-none-manylinux_2_27_aarch64.whl | Python 3 | none | Linux glibc 2.27+ ARM64 | Details |
Total release size: 703.0 MB
Release files / nvidia_nccl_cu12-2.32.3-py3-none-manylinux_2_27_x86_64.whl
| Download URL | nvidia_nccl_cu12-2.32.3-py3-none-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 351.5 MB |
| Tags | Linux glibc 2.27+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
bb94b2348e4861d5e8aa00b36c3d12d9bdf9c6369b82cbb723de0b582280a21c
|
|
BLAKE2b-256 checksum How to use checksums |
f3f89dce3698eed6fae28078eb38f748feb1665767693d8017c099de9fbf0b08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.21
|
Release files / nvidia_nccl_cu12-2.32.3-py3-none-manylinux_2_27_aarch64.whl
| Download URL | nvidia_nccl_cu12-2.32.3-py3-none-manylinux_2_27_aarch64.whl |
|---|---|
| Size | 351.5 MB |
| Tags | Linux glibc 2.27+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
061af42ae1044816820e16b872075e243d1ac0656f51860fbc8e106c257aa83a
|
|
BLAKE2b-256 checksum How to use checksums |
46cb702524922e4f64e42e8c299a26c7d794bce50dee2f5f54758f4d1e162305
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.21
|
Security for nvidia-nccl-cu12 2.32.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.