AMD Secures 6 Gigawatts Meta AI Deal Worth Double-Digit Billions

Khac Phu Nguyen

Wed, February 25, 2026 at 4:54 AM GMT+9 2 min read

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  AMD

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  META

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This article first appeared on GuruFocus.

Advanced Micro Devices (NASDAQ:AMD) appears to have secured one of the more consequential AI infrastructure commitments of this cycle, as Meta Platforms (NASDAQ:META) agreed to deploy 6 gigawatts of data center capacity built on AMD processors over a five-year period beginning in the second half of 2026. Lisa Su indicated the arrangement could amount to double-digit billions of dollars per gigawatt, implying a revenue opportunity that may be meaningful relative to AMD’s $34.6 billion in sales last year and projected 34% growth this year, according to Wall Street estimates. The market’s first reaction suggested investors view the agreement as strategically important: AMD shares rose as much as 8.6% in New York trading, while Meta’s stock declined as much as 1.2%.

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The structure of the partnership adds a capital markets dimension that could further align incentives. Meta will receive warrants to purchase 160 million AMD shares in stages, with vesting tied to both project milestones and stock-price thresholds. Some of those warrants would vest only if AMD reaches $600 per share, compared with a Monday close of $196.60, suggesting the agreement assumes significant long-term value creation if execution meets expectations. Meta is already AMD’s second-largest customer, and the company’s broader AI push under CEO Mark Zuckerberg includes a pledge to devote hundreds of billions of dollars to aggressively front-load computing capacity, alongside a new Meta Compute initiative targeting tens of gigawatts this decade and potentially hundreds of gigawatts or more over time.

Operationally, the deal appears designed to deepen technical collaboration. Meta is expected to receive custom versions of AMD’s forthcoming MI450 accelerator and successor products, with the chips aimed at supporting AI inference workloads. Santosh Janardhan, Meta’s head of global infrastructure, said the company will continue purchasing from Nvidia and advancing its own in-house AI chip efforts, indicating a multi-supplier strategy at unprecedented scale. With one gigawatt roughly equivalent to the output of a nuclear reactor enough electricity to power about 700,000 homes the magnitude of the planned deployment underscores how aggressively hyperscalers are building out AI capacity, even as some investors question whether current spending levels can be sustained.

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