# Meta Develops Custom Iris Chip Entering Production in September

> Meta's custom AI chip, code-named Iris, has cleared six weeks of testing and is set to enter production in September. Designed in partnership with Broadcom and fabricated by TSMC, the processor is aimed squarely at inference and ranking workloads, the everyday grunt work of deciding which ads and posts to show billions of users. The strategic thread is independence. Iris is part of a plan to double Meta's compute to 14 gigawatts by 2027, and building its own silicon chips away at the company's reliance on Nvidia and AMD, whose accelerators command steep prices and long waitlists. Controlling the chip means controlling cost and supply. Why it matters: the biggest AI spenders are increasingly deciding that renting compute from a single vendor is a strategic weakness. Meta joins Google and Amazon in designing accelerators tuned to its own workloads, a shift that, if it pays off, gradually loosens Nvidia's grip on the market and reshapes who captures the profits of the AI buildout.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Let's Data Science · Published Monday, July 13, 2026_

## Wortins' read

Meta's custom AI chip, code-named Iris, has cleared six weeks of testing and is set to enter production in September. Designed in partnership with Broadcom and fabricated by TSMC, the processor is aimed squarely at inference and ranking workloads, the everyday grunt work of deciding which ads and posts to show billions of users. The strategic thread is independence. Iris is part of a plan to double Meta's compute to 14 gigawatts by 2027, and building its own silicon chips away at the company's reliance on Nvidia and AMD, whose accelerators command steep prices and long waitlists. Controlling the chip means controlling cost and supply. Why it matters: the biggest AI spenders are increasingly deciding that renting compute from a single vendor is a strategic weakness. Meta joins Google and Amazon in designing accelerators tuned to its own workloads, a shift that, if it pays off, gradually loosens Nvidia's grip on the market and reshapes who captures the profits of the AI buildout.

## Source

[Read the full story at Let's Data Science](https://letsdatascience.com/blog/metas-iris-chip-enters-production-in-september-broadcom)

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