Reliance Intelligence bets big on AI with Jamnagar compute platform
At Reliance Industries’ 49th annual general meeting, Chairman and Managing Director Mukesh Ambani unveiled an aggressive artificial intelligence roadmap, arguing that India must evolve from being a consumer of imported AI to a global creator and leader. The company’s newly formed Reliance Intelligence unit will commission its first 120 megawatts (MW) of AI compute in Jamnagar by the end of 2026, with a design that can scale beyond 200,000 H100‑equivalent GPUs—placing it among the world’s largest AI platforms.
India-first, sovereign AI backbone powered by renewables
Reliance Intelligence is constructing what it calls a sovereign AI backbone in Jamnagar, powered entirely by renewable energy sourced from Reliance’s solar facilities in Kutch. The first phase will deploy an initial fleet of advanced Nvidia GB300 GPUs, delivering inference performance equivalent to more than 75,000 H100 GPUs. The platform is being built for sovereign hosting inside India, with model transparency and portability so enterprises can control their own AI stacks and data.
Deepening partnerships: Google, Meta, and open models
Reliance’s technology alliances are expanding in lockstep. Its collaboration with Google is now “AI‑first,” bringing Google AI Pro powered by Gemini at no cost to hundreds of millions of Jio users. In parallel, a joint effort with Meta focuses on operationalizing the open‑source Llama family for Indian enterprises—tailoring powerful foundation models to local needs, data, and compliance frameworks.
Multilingual AI for India’s linguistic breadth
To serve a linguistically diverse market, Reliance Intelligence is building multilingual services across 22 Indian languages. A new suite of applications targets key sectors:
- JioBharatIQ — a consumer-facing assistant for everyday tasks.
- AI Vyapar — tools for merchants and MSMEs to digitize and automate operations.
- JioHealthIQ — AI services for healthcare workflows.
- JioLearnIQ — education support and personalized learning.
- JioKrishiIQ — advisory and analytics for agriculture.
Consumer features: AI built into the Jio network
A new AI-powered call assistant will be embedded directly in the Jio network. Activated with the “Hey Jio” command, it can transcribe calls in real time, generate summaries, identify speakers, and execute tasks—such as booking cabs or ordering food—while the call is in progress. Reliance expects to roll this out to more than 500 million users later this year.
The MyJio app is also being reimagined as a conversational personal assistant capable of handling roaming pack selection, eSIM activation, and support queries. Reliance emphasized user consent controls and robust payment authorization safeguards as core design principles.
AI woven across Reliance businesses
- Jio: AI-native network management to improve reliability and drive operational efficiency.
- Reliance Retail: AI-led merchandising and supply chain optimization to sharpen demand forecasting and inventory turns.
- JioStar: multilingual content creation assistance to accelerate production workflows.
- Oil-to-chemicals: AI-driven process optimization to improve yields and reduce energy consumption.
Driving down AI costs—at national scale
Ambani drew a parallel to Jio’s role in making mobile data affordable, pledging that Reliance Intelligence will similarly reset AI economics in India by the end of this decade. The goal: deliver enterprise-grade capabilities at dramatically lower total cost, enabled by hyperscale compute, energy-efficient infrastructure, and a services layer tuned for Indian use cases.
Talent, startups, and research collaborations
Beyond infrastructure, Reliance is investing in AI talent pipelines, startup ecosystems, and partnerships with Indian universities and research institutions. The company positions this as a flywheel: homegrown research feeding open and proprietary models, which in turn power developer tools, enterprise platforms, and consumer services—all anchored in India’s data and regulatory landscape.
From blueprint to build-out
Reliance Intelligence has moved from planning to execution, with Jamnagar as the launchpad for a sovereign AI platform serving consumers, enterprises, and governments. If delivered on schedule, the 120 MW milestone by 2026, the ramp to more than 200,000 H100‑equivalent GPUs, and the rollout of network-native AI services could materially change India’s AI adoption curve—and help shift the country from AI user to AI producer, at global scale.
