Meta to put AI chip into production in September as it looks to double computing capacity, memo shows

Sumitomo Electric Industries

09/07/2026 18:55

Meta to deploy 14 gigawatts of computing next year, memo shows
Firm to manufacture 'Iris' AI chip from September, memo shows
Meta has deals for memory, flash storage, fiber-optics, memo shows
Adds shares and analyst comment in paragraphs 8,9
By Katie Paul, Max A. Cherney and Stephen Nellis

    NEW YORK/SAN FRANCISCO, July 9 (Reuters) - Meta Platforms META.O plans to start manufacturing an artificial intelligence chip from September as part of its plan to boost overall computing power to 14 gigawatts next year, showed an internal memo reviewed by Reuters.
The tech firm's data center chip, code-named "Iris", is part of a four-generation project for Meta Training and Inference Accelerators (MTIA) that it will design in-house. The plan is to use custom-built silicon to improve the AI that powers its Facebook and Instagram social media platforms.
Testing the chip took only six weeks and found no major issues, the memo showed. That relatively quick progress signals positive momentum for an in-house effort that has floundered since its launch more than half a decade ago.
Meta tailored the chip for its own needs and is working with Broadcom AVGO.O to help design it and Taiwan Semiconductor Manufacturing Co 2330.TW to manufacture it. The approach is likely to help the firm lower its massive computing costs and gain more independence from chip suppliers such as Nvidia NVDA.O and Advanced Micro Devices AMD.O.
The bug-testing completion and production timing have not been previously reported. Meta declined to comment.
The chip is aimed at augmenting the large quantities of graphics processing units (GPUs) used for AI applications that Meta purchases from Nvidia and AMD.
However, adopting the latest GPUs at a firm as large as Meta "has been a heavy lift, and it has cost us time," the memo showed.
Shares of the company fell after the report but recovered, and were last up 1.4% in afternoon trading. 
"Investors increasingly see custom silicon as a way to optimize costs over time, but in the near term it's accompanied by enormous capex, growing financing needs, and more questions about when those investments translate into meaningful returns," said Emarketer analyst Jacob Bourne.
Meta unveiled Iris under its technical name in March along with three other AI processors. It plans to launch a chip about every six months through 2027, whereas typically firms release AI chips at intervals of a year or more.
     
SEVEN GIGAWATTS OF COMPUTING IN 2026
Meta this year plans to deploy seven gigawatts of computing infrastructure, the memo showed. It plans to double that number in 2027, the memo said.
The firm expects to spend as much as $145 billion on AI infrastructure this year, a significant portion of Big Tech's more than $700 billion projected outlay on the technology.
To expand computing infrastructure, Meta has secured long-term, multi-year supply agreements, the memo showed. Those include agreements with Samsung Electronics 005930.KS for memory chips, Sandisk SNDK.O for flash storage and Sumitomo Electric 5802.T for fiber-optic equipment.
Such long-term agreements have become critical for data center expansion targets amid a memory chip shortage that has prompted companies such as Apple AAPL.O to raise prices.
Sandisk declined to comment. Samsung Electronics and Sumitomo Electric did not respond to requests for comment.
Components such as memory and AI chips have experienced a surge in demand as tech companies race to expand data centers to keep pace with AI's thirst for computing power.
Memory and other chip prices have risen rapidly and substantially enough that "chipflation" has become a macroeconomic concern, Morgan Stanley analysts said.

 (Reporting by Katie Paul in New York, and Max A. Cherney and Stephen Nellis in San Francisco; Editing by Christopher Cushing)
 ((max.cherney@thomsonreuters.com; 415-404-2697; @chernandburn on Twitter/X))