Meta, Broadcom and TSMC to Mass-Production Self-Developed AI Chip Iris in September
Meta is teaming up with Broadcom and TSMC to build a custom AI processor dubbed "Iris," targeting mass production by September 2026. As part of Meta's MTIA initiative, the chip has cleared initial testing in just six weeks. Designed to optimize ranking and recommendation algorithms on Facebook and Instagram, it aims to cut data center expenses and lessen dependence on third-party GPUs.

Amid global chip shortages, Meta has secured long-term supply agreements with Samsung Electronics, SanDisk, and Sumitomo Electric to safeguard its supply chain. Looking ahead, Meta plans to expand its computing capacity to 7 gigawatts by late 2026, doubling to 14 gigawatts by 2027, driving 2026 infrastructure spending to $14.5 billion.
This custom chip represents a major shift in Meta's strategy within the tech industry's computing arms race. While "Iris" currently supplements rather than replaces NVIDIA and AMD GPUs, its rapid six-month development cycle grants Meta greater hardware autonomy. This move alleviates supply chain pressures and strengthens Meta's independent AI ecosystem, reducing reliance on external software and hardware constraints.
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Meta is teaming up with Broadcom and TSMC to build a custom AI processor dubbed "Iris," targeting mass production by September 2026. As part of Meta's MTIA initiative, the chip has cleared initial testing in just six weeks. Designed to optimize ranking and recommendation algorithms on Facebook and Instagram, it aims to cut data center expenses and lessen dependence on third-party GPUs.

Amid global chip shortages, Meta has secured long-term supply agreements with Samsung Electronics, SanDisk, and Sumitomo Electric to safeguard its supply chain. Looking ahead, Meta plans to expand its computing capacity to 7 gigawatts by late 2026, doubling to 14 gigawatts by 2027, driving 2026 infrastructure spending to $14.5 billion.
This custom chip represents a major shift in Meta's strategy within the tech industry's computing arms race. While "Iris" currently supplements rather than replaces NVIDIA and AMD GPUs, its rapid six-month development cycle grants Meta greater hardware autonomy. This move alleviates supply chain pressures and strengthens Meta's independent AI ecosystem, reducing reliance on external software and hardware constraints.
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Google AI Overviews Gain Ground in Search Results
According to Similarweb’s 2026 Generative AI Landscape report, Google’s AI-generated summaries appeared in 43% of US searches, a significant rise from 15% recorded a year prior.While AI Overviews present generated summaries within standard search res
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