NVIDIA announced a multiyear, multigenerational partnership with Meta focused on AI infrastructure across on-premises and cloud systems. Meta plans to build hyperscale data centers optimized for AI training and inference. The agreement includes deployment of NVIDIA CPUs, NVIDIA Blackwell and Rubin GPUs. The companies will also integrate NVIDIA Spectrum-X Ethernet switches into Meta’s Facebook Open Switching System platform.
“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,” said Jensen Huang, founder and CEO of NVIDIA. “Through deep codesign across CPUs, GPUs, networking and software, we are bringing the full NVIDIA platform to Meta’s researchers and engineers as they build the foundation for the next AI frontier.”
“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,” said Mark Zuckerberg, founder and CEO of Meta.
Expanded NVIDIA CPU Deployment for Performance Boost
Meta is deploying Arm-based NVIDIA Grace CPUs in data center production systems under its partnership with NVIDIA. The initiative represents the first large-scale deployment of NVIDIA Grace CPUs without GPUs, supported by codesign efforts and software optimization in CPU libraries focused on performance per watt.
Meta and NVIDIA are also preparing for potential large-scale deployment of NVIDIA Vera CPUs in 2027. The deployment would expand AI compute capacity within Meta’s infrastructure and support the Arm software ecosystem.
Unified Architecture Supports Meta’s AI Infrastructure
Meta plans to deploy NVIDIA GB300-based systems across on-premises data centers and NVIDIA Cloud Partner environments. The design is intended to simplify operations while supporting performance and scalability across AI infrastructure.
Meta has also implemented the NVIDIA Spectrum-X Ethernet networking platform throughout its infrastructure. The platform supports AI-scale networking with predictable, low-latency performance and improved operational and power efficiency.
Confidential Computing for WhatsApp
Meta is deploying NVIDIA Confidential Computing to enable WhatsApp private processing. The implementation supports AI-driven capabilities while maintaining user data confidentiality and integrity.
NVIDIA and Meta plan to extend NVIDIA Confidential Compute beyond WhatsApp to additional applications across Meta’s portfolio. The collaboration expands confidential computing use cases within Meta’s AI infrastructure.
Codesigning Meta’s Next-Generation AI Models
Engineering teams at NVIDIA and Meta are collaborating on codesign to optimize and accelerate AI models across Meta’s core workloads. The effort combines NVIDIA’s full-stack platform with Meta’s production systems to improve performance for AI applications across Meta’s services.
Source: NVIDIA
About Meta
Meta Platforms Inc. develops social, messaging and immersive computing products used worldwide. It operates Facebook, Instagram, WhatsApp, Messenger and Threads, plus tools for creators and businesses. Meta sells digital advertising that targets audiences across its apps and services. The company runs data centers and builds AI models for recommendations and safety controls. Through Reality Labs, Meta develops consumer hardware and software, including Quest headsets and smart glasses. Customers include advertisers, small businesses, publishers, developers and individual users across many industries. Meta serves retail, media, automotive, financial services, travel and public-sector advertisers through ad accounts. Mark Zuckerberg founded the company in 2004. Meta is headquartered in Menlo Park, CA.
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving.