Advanced Micro Devices (AMD) has expanded its strategic partnership with Meta to support the technology company's artificial intelligence (AI) infrastructure, announcing the deployment of its Helios rack-scale computing systems and a $1 billion investment in Meta's equity offering.
The announcement, made on October 27, builds on an existing collaboration covering processors, graphics processing units (GPUs), networking technologies and software used to develop and operate large-scale AI systems.
According to AMD, initial Helios systems have been installed at Meta and are undergoing testing ahead of a broader deployment. The infrastructure is designed to support the company's AI models and services as demand for computing capacity increases.
AMD said its EPYC processors are also powering the dedicated computing environments behind Meta's Muse personal AI agent. Meta has deployed millions of EPYC processors across multiple generations and is a lead customer for AMD's sixth-generation EPYC CPUs.
The companies are additionally working on future processor generations, including the architecture codenamed Verano.
AMD's Instinct GPUs are already being used in Meta's production infrastructure for AI training, ranking and recommendation systems. Meta was an early development customer for the Instinct MI450 architecture and plans to deploy a customised GPU optimised for its workloads.
The partnership is also influencing AMD's future hardware roadmap, including its Instinct MI500 series GPUs and next-generation rack-scale computing platforms.
"Meta is a strategic partner for AMD, and we have built this partnership through years of deep technical collaboration," said Lisa Su, Chair and CEO of AMD.
Meta founder and CEO Mark Zuckerberg said AMD had played an important role in developing the computing infrastructure supporting the company's advanced AI models.
The collaboration extends to software development, with AMD providing support for Meta's Muse Spark Open models on Instinct GPUs and Muse Glimmer on Ryzen AI PCs and Radeon GPUs.
Both companies have also worked on improving AMD's ROCm software ecosystem through PyTorch, enabling developers to run AI workloads on AMD hardware.
Their engineering teams are collaborating on large-scale AI training and optimising recommendation models using Instinct MI350X GPUs, alongside improvements to PyTorch, Triton and ROCm.
The latest announcement follows a February 2026 agreement under which Meta outlined plans to deploy up to six gigawatts of AMD Instinct GPU infrastructure over multiple years.
AMD said the companies are aligning their hardware and software development plans to support future AI workloads at gigawatt scale.
While the initial Helios systems are undergoing testing, AMD has not provided a specific date for the wider deployment. The company also announced its planned $1 billion investment in Meta's equity offering as part of the latest update.
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