DualCoder/vgpu_unlock
Unlock vGPU functionality for consumer grade GPUs. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2043
- days_rel: n/a
- days_push: 1282
- n_releases_24m: 0
Adoption not part of the score
5300 stars · 470 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Linux tool that patches the NVIDIA GRID vGPU driver to unlock vGPU functionality on consumer-grade GeForce and Quadro GPUs. It works by hooking the vGPU daemon and kernel module via Frida and a linker script to bypass NVIDIA's software restriction to datacenter cards.
Use cases
- enable vgpu on a consumer geforce gpu
- share one gpu across multiple vms
- set up gpu virtualization for a home lab
- run vgpu on pascal or turing cards
- give cloud gaming vms gpu acceleration
When to choose
- you want NVIDIA vGPU on a consumer Maxwell-to-Turing GPU on Linux
- you need to split one GPU among several VMs
- you already have access to the NVIDIA GRID vGPU driver
When to avoid
- you only have an Ampere or newer GPU (support incomplete)
- you cannot obtain the NVIDIA GRID vGPU driver
- you need a guaranteed, officially supported solution
- you run Windows or macOS hosts
Facets
cli-tool · maturity maintenance
security developer-tools graphics hardware self-hosted python cli vgpu nvidia gpu-virtualization gpu-passthrough frida kernel-module home-lab virtualization linux
1 source
- readme: https://github.com/DualCoder/vgpu_unlock · fetched 2026-08-28 · d3cde40d8553
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| DualCoder/vgpu_unlock | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="DualCoder/vgpu_unlock")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem