NVIDIA has entered a multiyear, multigenerational strategic partnership with Meta, focusing on enhancing on-premises, cloud, and AI infrastructure. This collaboration aims to support Meta’s long-term AI infrastructure roadmap by establishing hyperscale data centers optimized for both training and inference. The partnership will facilitate the deployment of NVIDIA CPUs alongside millions of NVIDIA Blackwell and Rubin GPUs, and integrate NVIDIA Spectrum-X™ Ethernet switches into Meta’s Facebook Open Switching System platform.
As part of this extensive agreement, Meta and NVIDIA will ramp up the deployment of Arm-based NVIDIA Grace™ CPUs in Meta’s data center production operations. This initiative promises significant performance-per-watt improvements, aligning with Meta’s overarching infrastructure strategy. Notably, this will mark the first large-scale deployment of NVIDIA Grace CPUs, supported by codesign and software optimization investments that aim to enhance performance with each generation.
In addition to the Grace CPUs, the organizations are also collaborating on the potential deployment of NVIDIA Vera CPUs by 2027. This move is expected to extend Meta’s energy-efficient AI compute capabilities while promoting advancements in the broader Arm software ecosystem.
Meta’s infrastructure will feature industry-leading NVIDIA GB300-based systems, facilitating a unified architecture that integrates on-premises data centers with NVIDIA Cloud Partner deployments. This approach is designed to simplify operations, maximizing performance and scalability. Moreover, Meta’s adoption of the NVIDIA Spectrum-X Ethernet networking platform across its infrastructure is set to enhance AI-scale networking, ensuring predictable, low-latency performance that improves operational and power efficiency.
In a significant advancement for user privacy, Meta has integrated NVIDIA Confidential Computing for WhatsApp private processing. This enables the implementation of AI-powered capabilities on the messaging platform while ensuring the confidentiality and integrity of user data. Both companies are working to expand these confidential computing capabilities beyond WhatsApp to address emerging use cases within Meta’s portfolio, reinforcing the importance of privacy-enhanced AI at scale.
Engineering teams from NVIDIA and Meta are engaged in extensive collaboration to optimize and accelerate state-of-the-art AI models for Meta’s core workloads. This deep codesign effort combines NVIDIA’s full-stack platform with Meta’s extensive production workloads, driving higher performance and efficiency for AI capabilities utilized by billions of users worldwide.
Jensen Huang, Founder and CEO of NVIDIA, emphasized the significance of this partnership, stating, “No one deploys AI at Meta’s scale — integrating frontier research with industrial-scale infrastructure to power the world’s largest personalization and recommendation systems for billions of users.” He highlighted the importance of codesigning across CPUs, GPUs, networking, and software to provide Meta’s researchers and engineers with the tools necessary to build the next AI frontier.
Mark Zuckerberg, Founder and CEO of Meta, expressed enthusiasm about the expanded partnership, noting, “We’re excited to expand our partnership with NVIDIA to build leading-edge clusters using their Vera Rubin platform to deliver personal superintelligence to everyone in the world.” This statement underscores the ambitious vision both companies share for future AI applications and infrastructure.
This strategic alliance between NVIDIA and Meta signifies a pivotal moment for both companies as they aim to redefine the landscape of AI infrastructure, focusing on efficiency, scalability, and user privacy. As AI technologies continue to evolve, the implications of their partnership could reverberate across various sectors, potentially setting new standards for AI deployment at scale.
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