Apple's Mac Mini has started to become one of the most sought-after computing devices out there following the 'OpenClaw-fever', but here's how you can make it even more powerful.
TinyCorp Has Managed to Mount a GeForce RTX 5060 With Apple's Mac Mini, But Only For Compute Workloads
In recent years, people have come to appreciate the power of a capable device, especially for agentic AI workloads, which is why Apple's Mac Mini has seen massive popularity. One of the drawbacks of Apple's computing devices is that there's little room for external connectivity, particularly with eGPUs, compared to Windows devices in a similar form factor. However, TinyCorp has managed to connect a Mac Mini to what appears to be an NVIDIA consumer GPU, likely the GALAX GeForce RTX 5060, opening up new prospects for capable local LLM deployment with the Mac Mini.
Based on what TinyCorp has disclosed, it appears that the AI startup utilizes the ADT-Link adapter, which essentially converts Thunderbolt 4 connections into a GPU-compatible PCIe bus, and interestingly, they have managed to achieve 40 Gbps (5 GB/s bidirectional) speeds, which is a decent figure for LLM inference, but not so great for intense graphical applications. To overcome the software bottleneck in connecting AMD/NVIDIA GPUs to macOS, TinyCorp wrote dedicated Python userspace drivers for AMD and NVIDIA GPUs.
According to the startup, the current support is confined to modern-day consumer GPUs, but they claim to be shipping a dedicated eGPU board in Q2, where the idea would be to have built-in hardware control to manage power delivery, allowing users to save energy when the GPU isn't in use, and having a reset mechanism in case a GPU "weirdly hangs". Interestingly, the implementation is strictly limited to 'compute-only' workloads, since the GPU is treated as a raw compute device via its memory-mapped PCIe interface.
The concept of eGPUs isn't entirely new, neither for Windows nor MacOS, but in recent times, given how the wave of edge AI has started to grow, the need for higher on-device compute capability has become a lot more important, which is why TinyCorp's solution makes a traditional Mac Mini a lot more powerful.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
Follow Wccftech on Google to get more of our news coverage in your feeds.
