Pranav Hotkar
Menlo Park, United States - February 17, 2026 - Meta Platforms has expanded its long-term infrastructure partnership with Nvidia to deploy millions of artificial-intelligence processors across its global data-centre network, as the social-media giant accelerates construction of large-scale AI computing facilities.
The agreement covers multiple generations of accelerators, including next-generation GPUs and standalone CPUs designed for AI workloads. The deployment will support both training and inference systems powering recommendation engines, advertising tools and emerging AI assistant services.
Meta said the collaboration moves beyond traditional GPU adoption toward co-designed infrastructure, combining processors, networking technology and software optimization into a unified architecture. The build-out is intended to improve performance per watt and enable continuous operation of large training clusters.
The company is also introducing dedicated CPU platforms within AI clusters rather than using them solely alongside graphics processors. Industry analysts say this reflects a broader architectural shift in hyperscale facilities, where CPUs increasingly handle data preparation, orchestration and memory-intensive tasks while accelerators focus on model computation.
Networking hardware will be upgraded to support higher-bandwidth communication between chips, a critical requirement as models scale to trillions of parameters. High-speed interconnects reduce latency between servers and allow distributed training across thousands of nodes.
The deployment forms part of Meta’s multi-year capital-expenditure strategy to expand compute capacity for generative-AI services. Hyperscalers globally have been racing to secure chip supply and redesign facilities as AI workloads consume significantly more electricity and cooling capacity than traditional cloud applications.
Meta expects the infrastructure to support personalization features across its platforms as well as new conversational and content-generation tools. The company has emphasized efficiency improvements to manage rising energy demand associated with high-density compute clusters.
The partnership illustrates a wider industry trend toward vertically integrated AI infrastructure, where hardware vendors and cloud operators jointly optimize silicon, networking and data-centre design rather than deploying off-the-shelf servers.
As large technology companies compete to build increasingly capable AI systems, long-term hardware supply agreements have become central to ensuring predictable capacity and performance. Meta’s expanded deployment signals continued investment in dedicated AI facilities and reinforces the shift from general-purpose cloud computing to specialized AI-first data-centre architecture.
