I’ve been living with Thunderbolt 4 docks since they launched, and honestly? They’ve been fine. Reliable, fast enough for most things, and widely supported. But “fine” isn’t why I get excited about technology. So when Thunderbolt 5 hardware started landing on my test bench late last year, I cleared my schedule and started plugging things …
Computex 2026 wrapped up last week, and I’m still processing what I saw on the show floor. For the first time in years, the biggest story wasn’t about raw GPU frame rates or CPU clock speeds — it was about running AI models locally, on your own hardware, without ever touching a cloud API. The …
Six months ago, running a 70-billion-parameter language model at home meant either spending five figures on a multi-GPU workstation or accepting painfully slow token generation from a cloud API that charged you by the word. Today, I’m writing this article with a box the size of a sandwich running Llama 3.3 70B at 12 tokens …
The Local AI Hardware Dilemma: NPU or GPU? I’ve spent the last six months building and testing local AI rigs everything from budget-friendly mini PCs to multi-GPU monsters and if there’s one question I get asked more than any other, it’s this: “Should I buy an NPU or a GPU for running AI locally?” It’s …