
Power Supply for AI: 6 Proven Rules and 1 Silent Killer
Power supply for AI builds: why calculators miss transient spikes, what sustained load changes, and the connector mistake that causes most failures.


Power supply for AI builds: why calculators miss transient spikes, what sustained load changes, and the connector mistake that causes most failures.

10GbE for local AI: when it actually helps, the $50 point-to-point build, and why buying 10GBASE-T copper is the costly mistake.

Mac mini for local AI: the M6 is newer and slower at generation than the M5 Pro, plus the memory ceiling that costs $1,000 to cross.

RX 9070 XT for local AI: ROCm 7.2 finally works, Vulkan beats it by 29%, and the 16GB cliff that drops throughput to a fifteenth.

Beelink GTR9 Pro review: the best-built Strix Halo box with dual 10GbE, the board revision you must ask about, and why the price you saw is wrong.

AI inference API comparison: Groq, Cerebras, Together, Fireworks and DeepInfra on real pricing and throughput, and why cost per token misleads.

Lambda vs Hetzner GPU cloud: hourly training-focused cloud against monthly dedicated EU servers, and which billing model actually fits your workload.

Best storage for local AI: how much space models take, where speed actually matters, and whether you need RAID or a NAS.