Meta to build AI infrastructure with NVIDIA in multiyear pact
Partnership announced on 17 February 2026 spans compute, networking and software to scale training and inference workloads.
Meta has announced a multiyear collaboration with NVIDIA to build large-scale artificial intelligence infrastructure across its data centres and partner clouds, a move the companies said on 17 February 2026 will support both training and inference for current and future AI models. The focus is on end-to-end performance, power efficiency and predictable scaling, according to the announcement.
Scope of the collaboration
As per the companies, the partnership spans NVIDIA’s accelerated computing platforms, high-speed Ethernet networking and a full-stack software portfolio designed for model development, deployment and operations. The plan is to standardise on next-generation GPU systems for frontier training while expanding cost-efficient inference capacity across products that touch billions of users. Financial terms were not disclosed.
Software stack and operations
Beyond hardware, the collaboration highlights software optimisation across compilers, libraries and orchestration to squeeze more work out of every watt. The stack is expected to support training jobs that run for weeks as well as latency-sensitive inference services. Observability, scheduling and reliability at fleet scale are core concerns, and both firms said they will co-engineer to simplify operations across on-premises and cloud environments.
Privacy, safety and reliability
The companies said the programme includes work on privacy-preserving and safety-aligned deployment of AI features. Confidential computing, improved isolation and better integrity checks are part of the roadmap for sensitive workloads. Reliability at scale, including graceful degradation and faster recovery from failures, is also a stated goal as AI features become more deeply embedded in everyday experiences.