Meta has started testing its first in-house AI training chip, the MTIA (Meta Training and Inference Accelerator). This move signals a shift away from reliance on Nvidia’s GPUs—a trend we’re seeing across Big Tech as companies build custom silicon to optimize for their own AI workloads.

Why does this matter?

🔹 Cost & Efficiency – Custom chips allow for more power-efficient AI training and inference.

🔹 Supply Chain Control – The AI arms race has made GPUs scarce and expensive. Owning the stack is a strategic advantage.

🔹 Long-Term Vision – Meta is betting big on AI-driven content, recommendations, and its metaverse ambitions.

This is part of a bigger trend. Apple has M-series chips, Google has TPUs, Amazon has Trainium & Inferentia, and now Meta is joining the silicon club.