Meta to Begin Production of New AI Chips in September to Reduce GPU Costs

Jul 9, 2026

AI Summary

Meta plans to start production of its latest AI-specific chips in September to mitigate GPU costs amid a component shortage. The chips, developed under the Meta Training and Inference Accelerator program, aim to support various AI workloads and are expected to help the company reduce reliance on external GPU suppliers.

Meta is set to begin production of new AI-specific chips in September to lower GPU costs. The company is collaborating with Broadcom for chip design and will manufacture them through TSMC.
The new chips are part of the Meta Training and Inference Accelerator (MTIA) program and are designed to adapt to evolving AI needs using a modular approach.
Meta has been investing heavily in computing capacity, with capital expenditures projected between $125 billion and $145 billion this year, primarily for AI initiatives.
The company has secured various deals for data center and power resources globally, planning to deploy 7 gigawatts of compute this year and double that next year.
Meta's strategy includes using its MTIA chips for training models related to ranking, recommendation algorithms, and broader AI workloads, while still relying on GPU suppliers like Nvidia and AMD.
Other companies, including OpenAI and Anthropic, are also developing their own chips to reduce dependence on major GPU manufacturers.

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Meta to Begin Production of New AI Chips in September to Reduce GPU Costs

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