- TinyGPU enables external GPUs to run AI models directly on Macs
- Users can now exploit AMD and Nvidia cards without bypassing protections
- TinyGPU supports macOS 12.1 and later with Thunderbolt or USB4
Apple Silicon Macs have long been praised for their efficiency and tight hardware-software integration, but they have not been ideal for external GPU use.
That changed when Apple officially approved TinyGPU, a driver that enables eGPUs to act as AI accelerators on Apple Silicon machines.
The approval means users can now leverage high-performance AMD and Nvidia cards for AI tasks without having to bypass system protections like SIP.
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Official approval unlocks AI potential for Mac users
“If you have a Thunderbolt or USB4 eGPU and a Mac, today is the day you’ve been waiting for! Apple finally approved our driver for both AMD and NVIDIA,” said TinyCorp on X.
TinyGPU’s functionality focuses exclusively on AI workloads instead of traditional graphics output, enabling complex models to run directly on a Mac Mini or other supported Apple Silicon devices.
The TinyGPU driver supports macOS 12.1 or later along with devices equipped with USB4 or Thunderbolt 3 and 4 ports.
AMD GPUs from the RDNA3 generation onwards and Nvidia cards from the Ampere series are compatible.
Users can run AMD workloads natively, while Nvidia GPUs require a Docker Desktop setup to perform AI computations through NVCC.
Once the driver is installed and approved in the system, even demanding AI models like Qwen 2.5 27B can run efficiently.
TinyGPU’s framework, tinygrad, provides the necessary computational interface and offers a streamlined approach to AI acceleration that had previously been impossible.
The timing of this development coincides with the permanent discontinuation of the Mac Pro.
Apple has removed the Mac Pro from its website and redirected the flagship model’s page to the general Mac website.
Reports suggest that no new Mac Pro hardware is planned, effectively ending a line that had only seen three updates over the past fourteen years.
Rumors of an M4 Ultra variant never materialized, suggesting limited sales and a perceived lack of demand for high-end desktop configurations.
For many, this shift leaves Apple Silicon Macs without a modular workstation alternative—until now, eGPUs provide a viable route for users who require significant AI performance.
The combination of TinyGPU with a Mac Mini or other Apple Silicon systems opens up new possibilities for both professionals and enthusiasts.
The ability to connect external GPUs and run AI tools directly on macOS introduces a level of flexibility.
As TinyCorp noted, “It’s so easy to install, now a Qwen could do it, it can run that Qwen,” reflecting the availability and influence of the driver.
While Apple has moved away from traditional workstation hardware, eGPU support now lets users turn modest devices into AI-capable systems.
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