Meta Seals $100B AMD Deal With Potential 10% Stake

Meta is reportedly preparing one of the most aggressive hardware expansions in the history of artificial intelligence infrastructure, striking a deal with AMD that could reshape the balance of power in the AI chip market.
Key Takeaways
- Meta signed a $100B+ deal with AMD for 6GW of AI computing power.
- The agreement could give Meta up to a 10% stake in AMD.
- Meta is scaling AMD’s MI300 chips as part of its AI expansion.
- A separate multi-year Nvidia deal worth about $50B runs in parallel.
According to a report from Bloomberg, the agreement is valued at more than $100 billion and centers on a massive commitment to AI compute capacity. Beyond simply buying chips, Meta may take an equity stake of up to 10% in AMD, signaling a deeper strategic alignment between the two companies.
A 6-Gigawatt AI Commitment
The deal outlines Meta’s plan to secure roughly 6 gigawatts of AI computing power from AMD. In data center terms, that represents an enormous deployment of infrastructure capable of training and running advanced AI models at scale.
Rather than relying exclusively on Nvidia’s ecosystem, Meta is accelerating adoption of AMD’s Instinct MI300 series accelerators. The company has also committed to future generations of AMD hardware, including Venice and Verano CPUs, suggesting a multi-year roadmap designed to rival Nvidia’s dominance in AI training and inference.
This shift positions AMD not just as an alternative supplier, but as a core strategic partner in Meta’s AI ambitions. If the equity component materializes, it would mark one of the largest cross-industry alignments between a hyperscaler and a semiconductor manufacturer.
Strategic Implications for the AI Chip Market
The potential 10% ownership stake would tighten the relationship far beyond a typical procurement contract. For AMD, Meta’s commitment offers long-term revenue visibility and a validation of its MI300 platform as a credible competitor in high-performance AI workloads.
For Meta, the move reduces dependency risk in a market where supply constraints and pricing power have historically favored Nvidia. Diversifying hardware suppliers also gives Meta greater leverage in negotiations and more flexibility in optimizing AI training clusters.
The deal arrives as AI infrastructure spending across hyperscalers continues to surge, with Meta positioning itself among the most aggressive investors in next-generation compute.
Billions More for Infrastructure
Meta’s AI expansion extends beyond chips. To support its expanding U.S. data center footprint, the company has signed a separate agreement worth up to $6 billion with Corning for fiber-optic infrastructure through 2030.
Total AI-related capital expenditure for 2026 is projected to land between $115 billion and $135 billion, underscoring the scale of Meta’s long-term commitment to artificial intelligence.
A Separate Nvidia Expansion
In parallel to the AMD agreement, Meta has a separate agreement with Nvidia. The multi-year arrangement reportedly covers millions of AI chips, including current Blackwell GPUs, upcoming Rubin processors, and Nvidia’s Grace CPUs deployed at scale as standalone components.
Analysts estimate that Nvidia-related purchases could approach $50 billion over several years. While substantial, this partnership operates alongside — not instead of — the AMD deal.
Together, the agreements show Meta pursuing a dual-supplier strategy as it builds one of the world’s largest AI hardware ecosystems, with AMD emerging as a central pillar of that expansion.
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