Meta Platforms has signed a six-year cloud computing deal with Alphabet’s Google Cloud worth more than $10 billion, according to reports. The agreement gives Meta access to Google’s servers, storage, networking, and other services to scale its AI workloads. This move comes as demand for AI infrastructure surges across the tech industry.
The deal highlights a strategic partnership between rivals in digital advertising and AI, where Meta needs extra capacity to train and deploy models while building its own data centers.
For Google Cloud, landing Meta as a marquee customer validates its momentum in AI-driven services. The unit reported $13.62 billion in Q2 2025 revenue, up 32% year-over-year, beating expectations. This growth follows Google’s recent win with OpenAI, showing a trend of AI leaders adopting multi-cloud strategies to secure scarce compute resources.
Meta’s decision fits its aggressive AI investments. The company raised its 2025 capital expenditure outlook to $66-72 billion, with a large portion for AI infrastructure like data centers and hardware. CEO Mark Zuckerberg noted in July that Meta plans to spend hundreds of billions on massive AI data centers over time. Even with this buildout, renting cloud capacity shortens timelines, reduces risks, and diversifies suppliers amid tight demand.
AI training and inference are compute-heavy and costly. Meta aims to enhance features across apps like Facebook, Instagram, and WhatsApp, including AI assistants, ad ranking, and generative tools. The Google deal provides headroom for these workloads without full details on splits disclosed.
Google Cloud gains a flagship reference in high-end AI. Its AI-optimized tools, like Tensor Processing Units (TPUs), offer performance edges. Recent deals with OpenAI and others underscore Google’s pivot to support diverse AI players, boosting its backlog and story against AWS and Azure.
This partnership reflects broader industry shifts. Big Tech secures compute at scale through owned infrastructure and cloud commitments for speed and cost balance. Meta has explored upstream investments and partnerships, showing AI pipelines extend beyond chips.
