# @pcmag on Instagram

- **Type:** Image
- **Original URL:** https://www.instagram.com/p/DQaHSetDVns
- **Gondola URL:** https://gondola.cc/posts/36301739-pcmag-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/0496c76176.jpg
- **Posted:** 2025-10-29T21:20:59.000+00:00
- **Account Owner:** PCMag (@pcmag) — https://gondola.cc/pcmag

## Caption

A small AI developer has shown an M3 MacBook Pro using an externally connected Nvidia RTX graphics card for AI calculations. 

This is not ideal for gaming or even running a display, but it potentially opens the door for AI development on Apple hardware.

Since Apple transitioned from Intel processors in its MacBooks to ARM for its own Apple M-series chips, which feature onboard GPUs, compatibility with Nvidia and AMD GPUs has been nonexistent. As TechRadar points out, developers and enthusiasts have attempted to add support to no avail. Now, though, AI developer TinyCorp has shown it's possible.

TinyCorp previously developed a method for running an external AMD graphics card on Apple silicon using USB 3, but it has now done the same with Nvidia GPUs on the M-Series MacBooks, leveraging USB 4 and Thunderbolt 4. 

The configuration reportedly works with Nvidia RTX 30, 40, and 50-series GPUs, as well as AMD GPUs like RDNA2, RDNA3, and RDNA4. However, you'll get the best performance from the later models, which feature the latest Tensor Cores and greater quantities of onboard memory. With such a card and the onboard MacBook processing capabilities, developers would be able to run larger language models locally, rather than relying exclusively on cloud deployments of AI, which introduce privacy and latency concerns.

Are you a home developer looking to experiment with AI training and model fine-tuning? Head to PCMag to read more. 

#MacBook #Nvidia #AITraining #ExternalGPU #AppleSilicon #TinyCorp

📸 : __tinygrad__/X

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## Tags

tinycorp, externalgpu, macbook, aitraining, applesilicon, nvidia

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