Meta has revealed a comprehensive long, term partnership with AMD to help speed up the growth of its artificial intelligence infrastructure. Under the terms of the multi, year contract, Meta is allowed to install an AI computing capacity of up to 6 gigawatts using AMD Instinct GPUs, which will be instrumental in the production of the next generation of AI models and in managing large, scale data center operations.
The partnership marks a major step for Meta’s commitment to spreading AI features throughout its platforms and services. The partnership will see both companies coordinate their development plans covering silicon, systems, and software to manufacture AI infrastructure that caters to Meta’s workloads. This infrastructure will leverage several generations of AMD Instinct GPUs, combined with high, end server processors and rack, scale architecture tailored for hyperscale environments.
The deployment will leverage AMD’s Helios rack-scale architecture, developed jointly with Meta through the Open Compute Project. The first phase of deployment is expected to begin in the second half of 2026, with systems powered by custom AMD Instinct GPUs based on the MI450 architecture. These GPUs will be paired with 6th Generation AMD EPYC processors, codenamed “Venice,” and optimized with ROCm software to deliver high-performance AI computing at scale.
This initiative reflects Meta’s broader strategy to build a flexible and resilient AI compute stack capable of supporting both AI training and inference workloads. As AI models grow more complex and data-intensive, large technology companies are investing heavily in advanced infrastructure to ensure performance, scalability, and efficiency. The Meta-AMD partnership strengthens this strategy by diversifying Meta’s supply chain and expanding its access to high-performance computing hardware.
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Industry analysts view the agreement as a major development in the evolving AI infrastructure market. AMD’s Instinct accelerators are designed to compete with dominant GPU providers in the AI space, and large hyperscalers are increasingly exploring multi-vendor approaches to reduce dependency on a single hardware ecosystem. The collaboration positions AMD as a critical technology partner in one of the largest hyperscale AI buildouts underway today.
The project shows how much the demand for compute resources that power next, generation AI models and services keeps growing. In line with this, Meta is heavily investing in AI infrastructure that will help the company to introduce innovations not only in their advanced recommendation systems, but also in the generative AI capabilities and large language models. Through close collaboration with AMD, the company pc aims to offer systems that at hyperscale levels will provide a good balance of performance, efficiency and cost.
The collaboration could be interpreted as a signal for a broader industry, wide shift where technology companies are investing billions of dollars in data centers and the development of specialized hardware aimed at AI workloads. Meta and AMD plan to combine their efforts in hardware, software, and system architecture, with the goal of facilitating the evolution and operationalization of state, of, the, art AI technologies that can serve the digital experiences of the future.
