Apple Silicon Macs gain eGPU support for AI tasks as Tiny Corp secures driver approval

Reviewed byNidhi Govil

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Tiny Corp announced Apple has approved drivers enabling AMD and Nvidia eGPUs to work with Apple Silicon-powered Macs for the first time since 2020. The software targets AI Large Language Model processing and data processing rather than gaming, marking a significant shift for AI researchers and developers working on Mac systems.

Apple Approves eGPU Drivers for Apple Silicon Macs

Apple has approved drivers developed by Tiny Corp that enable AMD and Nvidia eGPUs to function on Apple Silicon-powered Mac devices, ending a nearly five-year absence of external GPU support. The company announced on X that users can now connect eGPUs to their M-series Macs without disabling System Integrity Protection or employing other workarounds previously required

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. The installation process has been simplified to the point where, as Tiny Corp quips, "a Qwen could do it"

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Source: Tom's Hardware

Source: Tom's Hardware

When Apple introduced its proprietary M1 processor in November 2020, the company silently removed eGPU support that had been available on Intel-powered Mac devices. This capability is now returning, though with a specific focus on AI rather than general graphics acceleration or gaming

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Designed for AI Large Language Model Processing, Not Gaming

The drivers are specifically engineered for AI Large Language Model processing and data processing tasks, not for gaming applications. This focus addresses the needs of AI researchers and developers who require high GPU power beyond what integrated Apple Silicon graphics can provide. Users with Thunderbolt or USB 4 compatible AMD and Nvidia eGPUs can now leverage these high-performance GPUs with Macs for AI training and inference tasks, though with some limitations

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Tiny Corp, the company behind the tinybox AI accelerator built around four high-end GPUs, developed these drivers independently rather than receiving them from GPU manufacturers. The company currently sells the red v2 model powered by four AMD 9070XTs for $12,000, and the green v2 Blackwell edition featuring four RTX Pro 6000 Blackwell GPUs priced at $65,000. Looking ahead, Tiny Corp plans to launch the exabox in 2027, equipped with 720 RDNA5 AT0 XL GPUs delivering approximately 1 exaflop of computing power for around $10 million

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Addressing Surging Demand for High-Memory Mac Systems

The timing of this development aligns with surging demand for high-end Apple computers among AI practitioners. The rise of AI agents like OpenClaw has created a shortage of Macs with massive amounts of Unified Memory, pushing delivery windows from six days to six weeks. Apple has responded by discontinuing the 512GB Unified Memory option for the Mac Studio while implementing a $400 price increase on the 256GB model

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While integrated GPUs on Apple Silicon M1, M2, M3, M4, and M5 processors—including their Ultra and Max variants—offer considerable power, they may not satisfy everyone's requirements for advanced AI tasks. External GPU support becomes essential for users who need additional processing capability without investing in dedicated AI supercomputers like the tinybox

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. This development enables AI researchers and developers to potentially perform training or inference work on their existing Mac hardware, though Apple has yet to officially confirm this functionality.

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