Arm and Meta have announced a strategic Arm Meta partnership to scale AI efficiency across every layer of compute. The multi-year collaboration combines Arm’s power-efficient AI compute with Meta’s innovation in AI products and infrastructure. This partnership aims to enable richer AI experiences for more than 3 billion people who use Meta’s apps worldwide.
The Arm Meta partnership focuses on optimizing Meta’s AI ranking and recommendation systems powering Facebook and Instagram. These systems will leverage Arm Neoverse-based data center platforms for higher performance and lower power consumption. Arm Neoverse will enable Meta to achieve performance-per-watt parity, demonstrating efficiency and scalability at hyperscale.
Both companies optimized Meta’s AI infrastructure software stack for Arm architectures, including compilers, libraries, and AI frameworks. This includes tuning open source components like Facebook General Matrix Multiplication and PyTorch, exploiting Arm’s vector extensions. These optimizations produce measurable gains in inference efficiency and are being contributed back to the open source community.
The Arm Meta partnership deepens collaboration on AI software optimizations across PyTorch, ExecuTorch edge-inference runtime, and vLLM datacenter-inference engine. Meta’s foundational AI technologies are now optimized for Arm, with PyTorch’s Executorch runtime using Arm KleidiAI to maximize performance-per-watt. This benefits Meta and the global open source community building on these technologies.
Santosh Janardhan, Meta’s Head of Infrastructure, emphasized that AI is transforming how people connect and create. Partnering with Arm enables Meta to efficiently scale innovation to billions of users. The collaboration will accelerate model deployment ease and increase AI application performance from edge to cloud.
Rene Haas, CEO of Arm, highlighted that AI’s next era will be defined by delivering efficiency at scale. The Arm Meta partnership unites Arm’s performance-per-watt leadership with Meta’s AI innovation to bring smarter intelligence everywhere. This approach enables AI across multiple types of compute, workloads, and experiences powering Meta’s global platforms.
The partnership extends to on-device AI capabilities, including Meta’s Ray-Ban Wayfarer smart glasses. When users engage with Meta AI through these glasses, processing occurs on-device rather than in the cloud. This demonstrates how the Arm Meta partnership spans the entire compute spectrum from wearables to massive data centers.
Arm and Meta are not exchanging ownership stakes or significant physical infrastructure, distinguishing this from recent equity-based AI deals. Instead, the focus remains on technical optimization and software co-design to maximize efficiency. Both companies will continue extending future optimizations to open source projects, enabling millions of developers to build efficient AI on Arm.
The strategic Arm Meta partnership comes as Meta invests heavily in expanding its data center network for AI services. Projects like “Prometheus” and “Hyperion,” delivering multiple gigawatts of power, will benefit from Arm’s energy-efficient architecture. These open source technology projects are central to Meta’s AI strategy and will enable developers globally to leverage performance improvements.
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