nvidia-nvshmem-cu12

PyPI v3.7.1

1,831,921 weekly downloads · 1 Dependencies

Recently published

Source data as of:

Summary

NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters.

Install pip install nvidia-nvshmem-cu12

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 1,831,921 Source: PyPI (Python Package Index)
Releases 11 Last release: 2026-06-30 Source: PyPI (Python Package Index)
Dependencies 1 Source: PyPI (Python Package Index)

Description

NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
nvidia-nvshmem-cu12
Registry
PyPI
Version
3.7.1
Weekly downloads
1,831,921 (weekly)
Dependencies
1: nvidia-cuda-cccl-cu12
Releases
11
Last release
2026-06-30
First published
2024-11-01
Keywords
cuda, nvidia, runtime, machine learning, deep learning
Homepage
https://developer.nvidia.com/cuda-zone
Repository
https://developer.nvidia.com/cuda-zone

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 28.3 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 0.9 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 18.3 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources