This article details 360 Cloud Platform's practical implementation of GPU passthrough and Docker‑MIG solutions, covering the underlying principles, host and OpenStack configuration steps, verification methods, and future directions for full GPU virtualization.
This article explains Nvidia's Multi‑Instance GPU (MIG) technology, compares it with vGPU, walks through enabling and partitioning MIG on A100 cards using nvidia‑smi commands, and shows how to expose MIG resources in Kubernetes with single and mixed strategies.
This article explains why GPU virtualization is needed, compares resource‑sharing and isolation approaches, and details user‑level API interception, remote API forwarding, half‑virtualization with virtio, kernel‑level driver interception, and hardware‑level solutions such as vGPU, MIG, and AMD MxGPU.
This article explains how to combine Nvidia GPUs with Kubernetes, covering CUDA toolkits, device plugins, GPU virtualization techniques such as Time‑Slicing, MPS and MIG, and advanced scheduling options like Volcano, while also outlining practical deployment steps and performance considerations.
