Apologies if Issues is the wrong place for my question, but I don't see a Discussions forum for this repo.

I've read your Medium article, which provides a nice summary of what problem nvshare is solving.

However, I also came across this blog from VMWare, which describes GPU virtualization in Kubernetes via Nvidia's GPU Operator and GPU Feature Discovery, which adds labels to the Nodes such as nvidia.com/vgpu.present=true and facilitates fractional allocation of GPUs to Pods.

How does nvshare differ and/or what additional value does it provide?