Meta has struck a deal with Reliance to lease a data center in India built specifically for artificial intelligence workloads. The facility will be powered by AI-optimized hardware, giving the social media giant a local hub to train and run its machine-learning models.
Why India was the pick
India is one of the fastest-growing markets for digital services, and Reliance already operates a sprawling telecom and cloud network through its Jio arm. By placing an AI data center there, Meta gets low-latency access to hundreds of millions of users in the region. It also sidesteps some of the regulatory headaches that come with storing user data outside the country.
The partnership builds on an existing relationship between the two companies. Meta has previously invested in Reliance’s digital ventures, and Jio’s infrastructure has helped expand Meta’s reach in the country. Leasing a dedicated facility takes that collaboration a step further.
What the data center will handle
The center is designed for AI training and inference, meaning it will handle both the heavy lifting of building new models and the real-time work of serving them to users. For Meta, that could mean faster improvements to its recommendation algorithms, content moderation systems, and its growing lineup of generative AI features.
Reliance is expected to provide the physical space, power, and cooling, while Meta will likely supply the specialized chips and software stack. The exact hardware mix hasn’t been disclosed, but AI-focused data centers typically use GPUs or custom accelerators from the likes of Nvidia or Meta’s own in-house designs.
The size and timeline
Neither company has said how large the facility will be or how much Meta is paying for the lease. What’s clear is that Meta sees India as a priority for its AI push — the country is already a major testing ground for its open-source language models and AI-powered ad tools.
Reliance, for its part, is betting that AI workloads will become a big revenue driver for its data-center business. The company has been expanding its cloud and edge-computing capabilities to compete with global hyperscalers like Amazon and Google.
The exact timeline for the data center’s operation hasn’t been announced.
