Meta, Broadcom Extend Custom AI Silicon Partnership

Meta and Broadcom announced an expanded multi-year custom AI silicon partnership on April 14, 2026. The agreement focuses on developing multiple generations of Meta Training and Inference Accelerator (MTIA) chips. Meta committed to deploying over 1 gigawatt (GW) of computing capacity through 2029. This collaboration targets 2nm AI compute accelerators and advanced networking infrastructure.

The extended custom AI silicon partnership solidifies Meta's internal hardware strategy. Meta and Broadcom will co-develop the MTIA platform to optimize machine learning tasks. These tasks include recommendation algorithms and generative AI models. The partnership covers chip design, advanced packaging, and 2nm process technology.

Strategic Scaling of the Custom AI Silicon Partnership

Meta committed to an initial deployment exceeding 1GW of computing power. This scale signals the company's intent to maintain a lead in AI capacity. The collaboration also includes high-performance networking components. These components connect thousands of accelerators in a unified fabric.

Broadcom CEO Hock Tan transitioned from Meta's board of directors to a specialized advisory role. Tan will focus on Meta's custom silicon strategy. He will provide technical and market guidance as the company scales internal chip programs. This move indicates deeper technical integration between the two firms.

The custom AI silicon partnership runs through at least 2029. This ensures a stable supply of specialized hardware for Meta data centers. Moving to 2nm production aims to increase thermal efficiency and computational density. This long-term commitment reflects a trend of hyperscalers developing bespoke silicon for AI demands.

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