
AI Infrastructure2026-03-12
WIRED AI
Meta Develops Four New Chips for AI and Recommendations
Meta is doubling down on its quest for silicon independence, with reports revealing the development of four new versions of its custom AI chip, the Meta Training and Inference Accelerator (MTIA). This next generation of chips is designed to power the company's massive AI workloads and its ubiquitous recommendation systems.
This development is a key part of Meta's strategy to reduce its heavy reliance—and associated costs—on industry-standard chips from suppliers like NVIDIA. By designing chips tailored specifically to its unique algorithms and scale, Meta aims to gain greater efficiency, control over its roadmap, and potentially significant cost savings as its AI ambitions grow.
The move underscores the intensifying 'arms race' for custom AI silicon among tech giants. As AI becomes central to every product and service, owning the underlying hardware is seen as a critical competitive advantage. Meta's investment in four new MTIA variants suggests a comprehensive approach, likely targe
