Yotta’s Mega AI Power Play: 20,736 NVIDIA Blackwell Ultra GPUs to ignite one of Asia’s largest superclusters

The deployment represents an investment exceeding $2 billion and is expected to go live by August 2026, positioning India among a select group of geographies capable of hosting frontier-scale AI infrastructure.

In a significant development reflecting strengthening India–U.S. technology alignment, NVIDIA will establish one of APAC’s largest NVIDIA DGX Cloud cluster within Yotta’s HGX B300 Blackwell Ultra supercluster, leveraging Blackwell Ultra GPUs under a four-year engagement valued at over $1 billion.

NVIDIA DGX Cloud has been utilizing Yotta’s GPU infrastructure over the past year, and this expanded deployment scales that relationship in line with regional and global demand growth.

The collaboration reflects a broader shift in global AI compute supply chains, where advanced AI infrastructure is increasingly distributed across trusted regions. India’s emergence as a major AI infrastructure node reinforces strategic technology collaboration between India and the United States and strengthens shared priorities around secure, high-performance AI ecosystems.

Yotta’s NVIDIA Blackwell supercluster is built on NVIDIA reference architecture and integrates 800 Gbps  NVIDIA Quantum-X800 InfiniBand networking, advanced liquid-cooling systems, and over 40 petabytes of high-performance parallel file-system storage. The platform is engineered to support trillion-parameter foundation model training and high-throughput inference workloads capable of handling multi-million simultaneous prompts.

Yotta's AI Factories are based on NVIDIA Reference Architecture to deliver fastest time to market, lowest cost per token and highest returns. Global AI model developers, enterprises, and governments are assured that the infrastructure can reliably support frontier-scale training and mission-critical inference deployments.

Beyond infrastructure scale, Yotta is augmenting its Shakti Studio AI platform with NVIDIA Nemotronopen models, NVIDIA NIM microservices, and access to the full NVIDIAAI Enterprisesoftware suite . Through Shakti Studio, developers in India gain access to the NVIDIA Nemotron family of truly open models including model weights, training datasets, and recipes enabling transparent fine-tuning, customization, and sovereign AI development at scale. The availability of open architectures alongside optimized inference microservices ensures that startups, enterprises, and public institutions can build secure, production-grade AI applications on world-class infrastructure.

Alongside the NVIDIA’s DGX Cloud deployment, Yotta is committing over 10,000 NVIDIA B300 GPUs from the AI supercluster to the IndiaAI Mission, supporting sovereign Indian foundation model development, research institutions, startups, and population-scale public AI platforms. This parallel allocation ensures that domestic AI priorities advance alongside global AI capacity expansion.

For India, the development aligns with the national vision of building AI “from India, for India, and for the world.” Access to large-scale Blackwell infrastructure within the country reduces structural dependence on offshore compute and enables Indian model builders and enterprises to scale confidently. It allows AI products conceived in India to serve both domestic and international markets from infrastructure located within India advancing India’s ambition to evolve from a technology consumer to a technology creator.

The supercluster will be deployed at Yotta’s 60 MW D2 hyperscale Data Centre within its Greater Noida DC campus, scalable to 250 MW, and supported by Yotta’s Navi Mumbai DC campus, scalable to 2 GW. With integrated extra-high-voltage substations, dedicated power distribution infrastructure, green energy sourcing, and vertically integrated engineering capabilities across data centres, cloud, managed services and GPU compute, Yotta has established a long-term platform capable of scaling beyond one million GPUs within the next three to five years as India’s AI ecosystem accelerates.

The combined capital commitments over $2 billion in Blackwell Ultra infrastructure deployment and a over $1 billion multi-year contracted engagement for DGX Cloud capacity reflect sustained demand for high-performance AI infrastructure in the region and provide meaningful long-term demand visibility.

Darshan Hiranandani, Co-Founder & Chairman, Yotta Data Services, said, “AI infrastructure is becoming foundational economic infrastructure. This NVIDIA Blackwell Ultra supercluster reinforces India’s position in the global AI value chain. Our capital strategy is focused on building scalable infrastructure that serves both national priorities and international AI demand.”

Sunil Gupta, Co-Founder, MD & CEO, Yotta Data Services, added, “India’s AI ambition requires sustained, high-performance compute at scale. By combining Blackwell Ultra infrastructure with open models like NVIDIA Nemotron and the full NVIDIA AI stack, we are enabling developers to build sovereign, globally competitive AI applications from India.”

Jensen Huang, co-founder and CEO, NVIDIA, NVIDIA, said, “India is emerging as one of the world’s most important AI markets, driven by extraordinary talent and a bold national vision. Yotta’s deployment of one of the largest NVIDIA Blackwell Ultra superclusters creates advanced AI infrastructure capable of training frontier-scale models and delivering AI at population scale. Expanding AI Factory capacity in India strengthens NVIDIA’s regional footprint while supporting India’s ambition to build secure, sovereign, and globally competitive AI.”

Yotta currently operates over 10,000 NVIDIA GPUs live in production, with another 8,000 NVIDIA GPUs going live within the next quarter, followed by the deployment of 20,736 Blackwell Ultra GPUs by August 2026. The company has outlined a roadmap to scale beyond 80,000 NVIDIA GPUs by FY27, supported by phased infrastructure expansion and long-term capacity planning.

At scale, this trajectory positions India not merely as a high-growth AI market, but as a structurally significant compute hub within the global AI ecosystem where sovereign capability, open innovation, disciplined capital deployment, and strategic international collaboration converge. India is not just participating in the AI revolution. It is building the infrastructure that will power its next phase.