Cloud AI hits capacity limits as Google tells Meta to ration usage, making local AI essential
Google told Meta in March it couldn't supply enough Gemini computing capacity, forcing the company to ration token usage and delay internal projects. The incident reveals cloud AI infrastructure constraints even for tech giants with nine-figure budgets. Meanwhile, local AI solutions are advancing rapidly, with new AI-specific hardware and models like Gemma 4 enabling on-device processing that offers privacy, cost savings, and independence from cloud providers.