• Takeaways We’re announcing a long-term agreement with AMD to power Meta’s AI infrastructure with up to 6GW of AMD Instinct GPUs, and to align our product roadmaps across hardware, software, and systems. • This partnership is part of our portfolio-based approach to infrastructure, an effort to build a flexible and resilient tech stack with diverse partners to support different workloads. • Today, we’reannouncing a multi-year agreement with AMDto power our AI infrastructure with up to 6GW of AMD Instinct GPUs, the silicon computing technology used to support modern AI models. • At Meta, we’re working to build the next generation of AI and enable personal superintelligence for all. • To do this, we need massive, scalable compute power that can handle the growing demands of our AI workloads.Our partnership with AMD, which builds on our existing collaboration, will help us meet those needs. • Working With an Industry Leader Under our new agreement, we will also be working with AMD on alignment with our roadmaps across silicon, systems, and software enabling, vertical integration across our infrastructure stack.

Article Summaries:

  • Meta has announced a multi‑year partnership with AMD to supply up to 6 GW of AMD Instinct GPUs for its AI infrastructure. The deal, part of Meta’s Compute initiative, will begin shipping in the second half of 2026 and will use AMD’s Helios rack‑scale architecture. Meta and AMD will align roadmaps across silicon, systems and software to accelerate deployment of high‑performance, energy‑efficient AI hardware. The agreement expands an existing collaboration and aims to diversify Meta’s compute stack, supporting the company’s goal of scaling AI workloads for “personal superintelligence.”
  • Meta has announced a multi‑year partnership with AMD to supply up to 6 GW of AMD Instinct GPUs for its AI infrastructure. The deal, part of Meta’s Compute initiative, will begin shipping in the second half of 2026 and will use AMD’s Helios rack‑scale architecture. Meta will work with AMD on aligning silicon, systems and software roadmaps, integrating Instinct GPUs, EPYC CPUs and rack‑scale AI systems to support its growing AI workloads. The agreement aims to diversify Meta’s compute stack, improve energy efficiency and accelerate the deployment of large‑scale AI models for its global user base.

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