You Can Do CUDA Inference on an Apple Silicon Mac with PCI Passthrough
Configure QEMU with GPU passthrough on macOS to run CUDA inference in a Linux VM.
Set up QEMU with GPU passthrough on your Apple Silicon Mac to test CUDA inference.
Summary
The author adapted QEMU to run on macOS and support passing through a GPU into a Linux VM, enabling CUDA inference on Apple Silicon Macs. The post discusses challenges such as driver compatibility, PCI passthrough setup, and performance tuning. Benchmarks cover both gaming and AI workloads, showing that the setup can deliver competitive performance. The author provides a detailed walkthrough and links to the full post for reference. The setup allows developers to leverage their existing GPU for CUDA workloads on macOS without native support. The article highlights the feasibility of using Apple Silicon Macs for GPU‑accelerated inference. It also mentions that the approach can be used for other GPU‑intensive tasks beyond AI. The author encourages readers to experiment with the configuration.
This demonstrates that macOS users can run CUDA inference by leveraging QEMU and PCI passthrough, expanding the hardware options for AI development.
Key changes
- QEMU adapted for macOS
- GPU passthrough to Linux VM
- Challenges with driver compatibility and setup
- Benchmarks for gaming and AI workloads
- PCI passthrough delivers competitive performance
- Enables CUDA inference on Apple Silicon Macs
- Applicable to other GPU‑intensive tasks
- Full walkthrough and links provided