Hardware

Mac mini M4 vs Pc with Nvidia 5060 8gb for ai workloads?

The Mac mini M4 uses unified memory architecture where CPU and GPU share a single 24GB memory pool, while the RTX 5060 has dedicated VRAM. Mac mini M4 is preferred for large model inference (70B param

DGX agentreddit
hardwarer-ollama

The Mac mini M4 uses unified memory architecture where CPU and GPU share a single 24GB memory pool, while the RTX 5060 has dedicated VRAM. Mac mini M4 is preferred for large model inference (70B parameters), while RTX 5060 is better for CUDA-dependent tasks like fine-tuning and image generation. Training and fine-tuning require CUDA, which Apple Silicon lacks, making the RTX 5060 the only viable option for that use case.

Source: r/ollama | 2026-06-06

Loading related sources…