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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

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.