Nvidia expands multi-year AI deal with Meta with CPU, GPU and networking deployments
Nvidia announces new multiyear deal with Meta for AI hardware deployments
NVIDIA has confirmed that it has entered a “multigenerational strategic partnership” with Meta that spans its on-premises, cloud, and AI infrastructure rollout. This includes Nvidia’s first-ever large-scale deployment of its Grace-only CPU and a collaboration on next-generation Vera CPU deployments.
This deal should also see Meta scale out its AI workloads using Nvidia’s Spectrum-X Ethernet and use Nvidia Confidential Computing for WhatsApp private messaging and other areas of Meta.
Nvidia isn’t just a GPU manufacturer, and Meta’s deal with them highlights this. By tightly integrating their processors and networking technologies, Nvidia can deliver a high level of synergy, enabling optimised AI performance. Mark Zuckerberg has confirmed that Meta plans to build and use Vera Rubin AI clusters in the future. These clusters will bring together Nvidia’s next-gen Vera CPUs and next-gen Rubin AI GPUs.
NVIDIA today announced a multiyear, multigenerational strategic partnership with Meta spanning on-premises, cloud and AI infrastructure.
Meta will build hyperscale data centers optimized for both training and inference in support of the company’s long-term AI infrastructure roadmap. This partnership will enable the large-scale deployment of NVIDIA CPUs and millions of NVIDIA Blackwell and Rubin GPUs, as well as the integration of NVIDIA Spectrum-X Ethernet switches for Meta’s Facebook Open Switching System platform.
Expanded NVIDIA CPU Deployment for Performance Boost
Meta and NVIDIA are continuing to partner on deploying Arm-based NVIDIA Grace CPUs for Meta’s data center production applications, delivering significant performance-per-watt improvements in its data centers as part of Meta’s long-term infrastructure strategy.
The collaboration represents the first large-scale NVIDIA Grace-only deployment, supported by codesign and software optimization investments in CPU ecosystem libraries to improve performance per watt with every generation.
The companies are also collaborating on deploying NVIDIA Vera CPUs, with the potential for large-scale deployment in 2027, further extending Meta’s energy-efficient AI compute footprint and advancing the broader Arm software ecosystem.
Unified Architecture Supports Meta’s AI Infrastructure
Meta will deploy industry-leading NVIDIA GB300-based systems and create a unified architecture that spans on-premises data centers and NVIDIA Cloud Partner deployments to simplify operations while maximizing performance and scalability.
In addition, Meta has adopted the NVIDIA Spectrum-X Ethernet networking platform across its infrastructure footprint to provide AI-scale networking, delivering predictable, low-latency performance while maximizing utilization and improving both operational and power efficiency.
Confidential Computing for WhatsApp
Meta has adopted NVIDIA Confidential Computing for WhatsApp private processing, enabling AI-powered capabilities across the messaging platform while ensuring user data confidentiality and integrity.
NVIDIA and Meta are collaborating to expand NVIDIA Confidential Compute capabilities beyond WhatsApp to emerging use cases across Meta’s portfolio, supporting privacy-enhanced AI at scale.
Codesigning Meta’s Next-Generation AI Models
Engineering teams across NVIDIA and Meta are engaged in deep codesign to optimize and accelerate state-of-the-art AI models across Meta’s core workloads. These efforts combine NVIDIA’s full-stack platform with Meta’s large-scale production workloads to drive higher performance and efficiency for new AI capabilities used by billions around the world.
In its press release, Nvidia is emphasising “performance per watt” as a key reason to choose its CPUs. AI datacenters consume a lot of power, and Nvidia’s tightly integrated solutions can deliver high levels of performance and power efficiency. With power being a critical and limited resource, performance per watt is just as important as raw performance. After all, what’s the point in having the most powerful AI datacenter if you can’t power it?
What’s clear is that Meta intends to keep spending its cash reserves on AI hardware. For now, Meta is investing in Nvidia’s current-generation and next-generation technologies.
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