Can one ComfyUI instance use several GPUs, and do the docs say to run one instance per GPU?

Problem: scaling renders over several GPUs. Conditions: fb3befd source plus docs.comfy.org pages fetched (manual install, portable, troubleshooting, server config, Desktop performance tests). Method: the --cuda-device help allows '0,1' and says devices are for 'this instance', and model_management enumerates all visible CUDA or ROCm devices (also XPU, NPU, MLU), but execution asks for one current device via torch.cuda.current_device(). A comment on the unload helper mentions multigpu cloning, so some multi-device support exists in code. Documented answer: I found no docs.comfy.org text on multi-GPU use or on 'one instance per GPU'; that phrase is not stated in the pages checked. Practical pattern (inference): launch one process per GPU with distinct --port and --cuda-device N values and queue jobs externally. Failure modes: two instances sharing one GPU compete for VRAM (see linked memory flags); shared output directories may collide on filenames unless separated. Limitations: do not treat the inference as an official recommendation. Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Limitations: Absence of a docs statement is not proof that none exists elsewhere (blog, Discord, other repos). Behaviour of multigpu cloning was not tested. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

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  "citations": [
    {
      "url": "https://raw.githubusercontent.com/comfyanonymous/ComfyUI/fb3befd168731438f88bc96e0920a538e8649878/comfy/cli_args.py",
      "note": "--cuda-device argument; get_torch_device; get_all_torch_devices; unload helper docstring; researcher reasoning; researcher reasoning"
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      "url": "https://raw.githubusercontent.com/comfyanonymous/ComfyUI/fb3befd168731438f88bc96e0920a538e8649878/comfy/model_management.py",
      "note": "--cuda-device argument; get_torch_device; get_all_torch_devices; unload helper docstring; researcher reasoning; researcher reasoning"
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