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Open-IOV is an open-source virtualization layer for NVIDIA GPUs: it runs stock, unmodified NVIDIA drivers inside virtual machines — Linux and Windows — with CUDA on hardware you own, without proprietary vGPU licenses, without patching the guest driver, the host driver, the hypervisor or the firmware.

Emulate the interface. Pass through the work. Never patch anyone.

The only new component is one host kernel module (vgsp.ko), which implements the interface the guest driver expects to talk to — the GPU System Processor and its resource-manager firmware — and arranges for the guest's work to run on real GPU hardware.

About Open-IOV · Community · Documentation

Start here

• Project Status — the honest, dated state of the project.
• Install and First Run — fresh host to a stock guest driver in about half an hour.
• System Overview — how Open-IOV works, in one page.
• Documentation — the full index of this wiki.
• FAQ — the questions we get asked most.

Project status (2026-10-12)

Area	State
Emulated vGPU device (PCI, BARs, MSI-X, VFIO mdev)	Working
GSP boot emulation and GSP-RM message queues / RPC	Working
Stock guest driver probe, nvidia-smi (TU104)	Working
CUDA userspace init and the driver-API smoke (ALL OK, 64-byte payload round-trips)	Working
Guest CUDA kernel execution on real hardware	In progress — a forwarded launch reaches the engine queue; engine execution is the frontier
OpenGL / Vulkan, Windows guests, multi-tenancy, migration, performance	Not yet

The full story, with evidence and the current wall: Project Status and The Execution Frontier.

Deep dives

• System Overview — the architecture before any subsystem
• GSP and GSP-RM — the firmware interface we emulate
• The vGSP Execution Plane (vEP) — how guest work becomes execution and completion
• The Host Module (vgsp.ko) — the module internals
• The Guest Stack and CUDASW — what runs unmodified in the guest
• CUDA Userspace Driver — the libcuda.so analysis
• Introduction to GMMU — GPU address translation from first principles
• UVM in the Guest — unified memory as a correctness oracle
• Physical GPU Backend and Guest Wiring — how work reaches real hardware
• The Execution Frontier — the leading edge, evidence-led
• Guest Driver Lifecycle: A Field Guide — boot to CUDA with real IDs and log signatures

Firmware interoperability

• GSP 570.144W Firmware Analysis
• Address Reference
• RPC Message Format · BAR Emulation Specification · WPR Management · Migration Protocol · GSP RPC Emulation (historical, superseded)
• risc-v-gsp-rm-debugger — the firmware runtime workbench

Project and ecosystem

• Hardware and Software Matrix — supported combinations, honestly labelled
• HAAEEP and Collaboration — the agent-edge use case and how to work with us
• FAQ · Glossary

Community

• Source and issues: git.vgpu.io/open-iov
• Chat: Open-IOV Discord

About Open-IOV

Open-IOV runs unmodified NVIDIA driver stacks inside virtual machines with GPU compute on hardware you own — no proprietary vGPU license, and no patches to the guest driver, the host driver, the hypervisor or the firmware. The project adds one host kernel module (vgsp.ko) that implements the interface the guest driver expects to talk to — the GPU System Processor and its resource-manager firmware — and arranges for the guest's work to run on real GPU hardware.

• Mission: make NVIDIA GPUs fully virtualizable, by anyone, for any hypervisor, without modifying NVIDIA software, firmware or hardware.
• Principles: no patches anywhere; honest status carried with dated evidence; an independent, self-contained IP block; durability by owning the interface rather than a snapshot of it.
• Licensing: project code under BSD-3-Clause (GPL-2.0 for the kernel modules); NVIDIA software and firmware are used unmodified and are not redistributed. The wiki's prose carries the CC-BY-4.0 wiki statement.

Read more about Open-IOV →

About this wiki

This wiki previously hosted the OpenMdev / LibVF.IO documentation (2021–2023). Those pages are retained for reference under History; current documentation starts at Documentation.