Meta has partnered with NVIDIA in a multigenerational, strategic venture with the aim to expedite the growth of its artificial intelligence infrastructure both in on, premises and cloud environments. The collaboration is geared towards upgrading training and inference capabilities in Meta’s hyperscale data centers, thus securing its AI roadmap for the long run.
This alliance enables Meta to integrate NVIDIA’s advanced compute and networking technologies at unprecedented scale. The deployment will include large volumes of NVIDIA CPUs and millions of Blackwell and Rubin GPUs, alongside high-performance Spectrum-X Ethernet networking optimized for AI workloads.
Deep Collaboration for Next-Gen AI at Scale
The companies described extensive co-engineering efforts to optimize performance and energy efficiency across Meta’s infrastructure stack.
Jensen Huang, founder and CEO of NVIDIA, stated: “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. 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.”
Meta’s AI cluster expansion will also incorporate cutting-edge server technologies designed to boost performance per watt, improve operational efficiency, and support broader workloads spanning from research to production use cases.
Also Read: AMD and TCS Partner to Bring Cutting-Edge “Helios” AI Infrastructure to India, Paving the Way for Scalable AI Adoption
Broad Deployment of NVIDIA Technologies
As part of the agreement, Meta will accelerate the rollout of Arm-based NVIDIA Grace CPUs for production environments achieving significant gains in performance and energy efficiency. This represents the first major deployment of Grace CPUs at scale outside of traditional GPU-paired systems.
The businesses additionally have the intention of bringing next, generation NVIDIA Vera CPUs to Meta’s data centers worldwide, wherein great expansions are predicted in 2027. These implementations should be increasing the availability of energy, efficient AI compute while also reinforcing the broader Arm software ecosystem.
Furthermore, Meta is making a decision to use only NVIDIAs GB300, based systems, thus establishing a single compute architecture that covers both Meta’s own data centers as well as the infrastructure through the NVIDIA Cloud Partner. The idea behind this is to make the running easier and get the better performance and scalability of the AI workloads of different kinds.
AI-Scale Networking and Privacy-Centric Capabilities
Meta will adopt NVIDIA Spectrum-X Ethernet switches across its networking footprint to deliver high-bandwidth, low-latency connectivity that supports AI system scaling while improving power and utilization efficiency.
To fortify user privacy in AI-driven applications, Meta has implemented NVIDIA Confidential Computing for WhatsApp private processing. This technology protects sensitive data during AI computation and will be expanded to additional use cases across the company’s ecosystem.
Strengthening AI Model Performance
Engineering teams from both companies will continue deep codesign work to optimize and accelerate AI models across Meta’s most demanding workloads. This collaboration aims to enhance performance, efficiency and responsiveness for future AI experiences used by billions worldwide.
Mark Zuckerberg, founder and CEO of Meta, commented on the collaboration: “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.”
