gpu passthrough

An overview of enabling GPU passthrough to virtual machines for AI labs: covers hardware/BIOS prerequisites (IOMMU, VT-d/AMD-Vi), hypervisor setup (KVM/QEMU, Proxmox, ESXi), NVIDIA driver and CUDA install, device isolation with VFIO, common pitfalls (IOMMU groups, reset quirks), security and resource planning, and tuning to achieve near‑native performance for training and inference workloads.

Could you share the article text (or a link) so I can base the 250–500 character synopsis on its actual content? If sharing the full post isn’t convenient, a brief outline or key points will do. If you prefer, I can also draft a generic 250–500 character synopsis about AI GPU passthrough as a placeholder.