Hardware Insights

Oct. 11, 2025 / Hardware Insights

What Makes Apple Silicon and Strix Halo Good at Running Local LLMs?.

For years, the formula for running large language models locally has been simple: get as much VRAM as you can afford. This usually meant building complex, power-hungry desktop rigs with multiple GPUs or hunting for deals on used server hardware. But a new class of hardware, powered by Apple Silicon and AMD’s “Strix Halo” APUs,...
Sep. 11, 2025 / Hardware Insights

GPU First or Model First? The Right Way to Decide on Local LLM Hardware

Let’s be honest: cloud LLMs are incredibly powerful and mostly free. GPT-5, Gemini Pro, Claude Sonnet 4 – you can use them for almost unlimited queries without hitting hard limits. I personally combine Gemini and ChatGPT when one hits a rate limit, and it works perfectly. So why would you want to run models locally?...