The other big need is for a straightforward library for dynamic allocation/sharing of GPUs. Bitfusion was a huge pain in the ass, but at least it was something. Now it’s been discontinued, the last version doesn’t support any recent versions of PyTorch, and there’s only two(?) possible replacements in varying levels of readiness (Juice and RunAI). We’re experimenting now with replacing our Bitfusion installs with a combination of Jupyter Enterprise Gateway and either MIGed GPUs or finding a way to get JEG to talk to a RunAI installation to allow quick allocation and deallocation of portions of GPUs for our researchers.