Skip to main content

GPUStack Runtime is library for detecting GPU resources and launching GPU workloads.

Project description

GPUStack Runtime

GPUStack Runtime offers a unified interface for detecting GPU resources and managing GPU workloads.

It supports detection of a wide range of GPU and accelerator resources, including:

  • AMD GPU
  • Ascend NPU
  • Cambricon MLU
  • Hygon DCU
  • Iluvatar GPU
  • MetaX GPU
  • Moore Threads GPU
  • NVIDIA GPU
  • T-Head PPU

Contributions to support additional GPU resources are welcome!

GPUStack Runtime enables GPU workload management on the following platforms:

  • Docker
  • Kubernetes
  • Podman (>=4.9, Experimental support via CONTAINER_HOST=http+unix:///path/to/podman/socket environment variable)

License

Copyright (c) 2025 The GPUStack authors

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at LICENSE file for details.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gpustack_runtime-0.1.42.post1.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gpustack_runtime-0.1.42.post1-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file gpustack_runtime-0.1.42.post1.tar.gz.

File metadata

File hashes

Hashes for gpustack_runtime-0.1.42.post1.tar.gz
Algorithm Hash digest
SHA256 907ae9f28368d13de8fa4d3ef1284535faf568085ae703596bcb3476a042caf7
MD5 6462f5b6c190f30c15c6f500ed392975
BLAKE2b-256 67eaaf4d2340f8590cef71681c1e2309df6814ff6d33f21e9294a4c5cf7a7e51

See more details on using hashes here.

File details

Details for the file gpustack_runtime-0.1.42.post1-py3-none-any.whl.

File metadata

File hashes

Hashes for gpustack_runtime-0.1.42.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 081c8c6071e8f2dbb93d39b76f6b5e4f900313138e31c5d937b7637e551edbf2
MD5 4aacf70a5cc0dd3e304073b73921df5a
BLAKE2b-256 c354aff26ab7fca7065d5c1d80bcf1ba647f780ab193d553932696586e81d971

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page