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Image Provided

We provide pre-built Docker images for a quick start (Links will be updated):

  • torch2.6.0 + SGlang0.4.6: roll-registry.cn-hangzhou.cr.aliyuncs.com/roll/pytorch:nvcr-24.05-py3-torch260-sglang046
  • torch2.6.0 + vLLM0.8.4: roll-registry.cn-hangzhou.cr.aliyuncs.com/roll/pytorch:nvcr-24.05-py3-torch260-vllm084
  • torch2.5.1 + SGlang0.4.3: roll-registry.cn-hangzhou.cr.aliyuncs.com/roll/pytorch:nvcr-24.05-py3-torch251-sglang043
  • torch2.5.1 + vLLM0.7.3: roll-registry.cn-hangzhou.cr.aliyuncs.com/roll/pytorch:nvcr-24.05-py3-torch251-vllm073

For AMD GPU users, We provided pre-built Docker images for a quick start as well:

  • torch2.8.0 + vLLM0.10.0: hub.docker.com/r/rlsys/roll_opensource

You can also find Dockerfiles under the docker/ directory to build your own images.