NVIDIA and Meta announced a multiyear AI infrastructure partnership to deploy Blackwell and Rubin GPUs, Grace CPUs, and advanced networking across hyperscale data centers.
The collaboration will support Meta’s long-term AI roadmap through the construction of hyperscale data centers optimized for both training and inference workloads. As part of the agreement, Meta plans large-scale deployments of NVIDIA CPUs and millions of next-generation GPUs, including the Blackwell and Rubin architectures.
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The partnership also includes the integration of NVIDIA’s Spectrum-X Ethernet networking into Meta’s Facebook Open Switching System (FBOSS), strengthening AI-scale connectivity across its global infrastructure footprint.
“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.”
Meta CEO Mark Zuckerberg added: “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.”
Meta and NVIDIA are continuing their collaboration on deploying Arm-based NVIDIA Grace CPUs across Meta’s production data centers, targeting improved performance per watt as part of Meta’s long-term energy efficiency strategy.
The initiative marks the first large-scale Grace-only deployment, supported by joint codesign and software optimization efforts aimed at enhancing CPU ecosystem libraries and driving generational performance gains.
The companies are also preparing for the future deployment of NVIDIA Vera CPUs, with a potential large-scale rollout beginning in 2027, further expanding Meta’s energy-efficient AI compute capabilities and supporting broader adoption of the Arm ecosystem.
Meta will deploy NVIDIA GB300-based systems as part of a unified architecture spanning on-premises data centers and NVIDIA Cloud Partner environments. The approach is designed to streamline operations while maximizing scalability and performance.
Across its infrastructure, Meta has adopted NVIDIA Spectrum-X Ethernet networking to enable predictable, low-latency AI workloads while improving system utilization and power efficiency.
Beyond performance, the partnership extends into privacy-enhanced AI capabilities. Meta has implemented NVIDIA Confidential Computing to support private AI processing within WhatsApp, enabling secure AI-powered features while preserving data confidentiality and integrity.
The companies are now working to expand confidential computing capabilities beyond WhatsApp into additional use cases across Meta’s portfolio, supporting the deployment of privacy-centric AI at scale.
Engineering teams from both companies are engaged in extensive hardware-software codesign to optimize Meta’s state-of-the-art AI models. By combining NVIDIA’s full-stack AI platform with Meta’s large-scale production workloads, the partnership aims to deliver higher efficiency and performance for AI systems used by billions globally.
As AI infrastructure becomes increasingly central to competitive advantage, the collaboration underscores how hyperscalers and chipmakers are co-developing compute, networking, and software architectures to power the next phase of AI development.
Why the NVIDIA and Meta Partnership Matters to MENA
This partnership underscores how global AI leaders are racing to secure compute dominance, a shift with direct implications for the Middle East and North Africa.
As hyperscalers scale AI clusters powered by advanced GPUs and energy-efficient Arm-based CPUs, demand for high-capacity data centers and resilient digital infrastructure is accelerating worldwide. MENA countries, particularly the UAE and Saudi Arabia, are investing heavily in AI data centers, cloud zones, and sovereign compute capabilities.
The collaboration also highlights a broader trend: AI infrastructure is increasingly built through deep hardware–software codesign between chipmakers and hyperscalers. For MENA, this signals the importance of securing long-term partnerships with leading AI infrastructure providers to remain competitive in AI research, enterprise adoption, and digital transformation.
Moreover, Meta’s adoption of confidential computing and AI-scale networking reflects growing emphasis on data privacy, security, and energy efficiency, priorities that align closely with regulatory and sustainability agendas across the Gulf.
In short, as AI infrastructure becomes a geopolitical and economic asset, partnerships like NVIDIA–Meta set the benchmark for how next-generation AI ecosystems will be built, and MENA’s digital ambitions will depend on how closely the region aligns with these global compute trends.
