Why AI startups are shifting workloads to renewable GPUs
What Changed and Why It Matters AI teams are moving training and heavy inference to GPU clouds that run on cleaner, more flexible power. The driver isn’t PR. It’s unit…
AI-designed chips and hardwired models: faster silicon, new moats
What Changed and Why It Matters Inference costs now dominate AI. Power is the bottleneck, not parameters. A new class of chips is attacking both. Edge AI, model-specific silicon, and…
Why Founders Are Putting GPUs in Mini PCs for Edge AI — and Ditching the Cloud
What Changed and Why It Matters Founders are moving inference from cloud GPUs to small, rugged boxes at the edge. Think mini PCs, discrete GPUs, and new NPUs sitting next…