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
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/socketenvironment 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.
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