Yotta’s $2 Billion Nvidia Blackwell Supercluster: India’s AI Revolution Begins in 2026

India is building the foundational muscle for the AI era—and it starts with a supercluster.
In a landmark development for the technology landscape of the subcontinent, Yotta Data Services has officially announced the deployment of one of Asia’s largest AI superclusters. With an investment exceeding $2 billion, this facility will be powered by 20,736 liquid-cooled NVIDIA Blackwell Ultra GPUs .
Scheduled to go live by August 2026 at Yotta’s Greater Noida hyperscale data centre campus, this infrastructure is set to redefine the country’s position in the global artificial intelligence race . This isn’t just another data centre expansion; it is a strategic declaration that India intends to be a creator—not just a consumer—of frontier AI technology.
Here is an in-depth look at why the Yotta AI supercluster matters for enterprises, startups, researchers, and the sovereign ambitions of India.
The Scale of Ambition: 20,000+ Next-Gen GPUs
At the heart of this announcement is raw, unprecedented computational power. Yotta is leapfrogging existing infrastructure by deploying NVIDIA’s latest Blackwell B300 GPUs (part of the Blackwell Ultra series), which succeed the already powerful H100/H200 architectures .
Key Technical Highlights of the Supercluster:
- Processing Power: Over 20,000 NVIDIA Blackwell Ultra GPUs, designed to handle trillion-parameter model training .
- Advanced Networking: Integration of 800 Gbps NVIDIA Quantum-X800 Infiniband networking, ensuring ultra-low latency communication between GPUs—a critical factor for efficient large-scale AI training .
- Storage & Cooling: Over 40 petabytes of high-performance parallel file-system storage, paired with advanced liquid-cooling systems to manage the thermal output of such dense computing .
Sunil Gupta, Co-Founder, MD & CEO of Yotta Data Services, emphasized that this infrastructure addresses India’s “real gap”—which was never demand, but compute power .
Strategic Partnership: NVIDIA’s DGX Cloud Arrives in Asia
A crucial component of this deal is NVIDIA’s commitment to the region. Under a four-year engagement valued at over $1 billion, NVIDIA will establish one of Asia-Pacific’s largest DGX Cloud clusters within Yotta’s infrastructure .
This means that global enterprises and Indian IT giants like Tata Consultancy Services (TCS) and Infosys will be able to access NVIDIA’s full-stack AI platform directly from Indian data centres. By anchoring nearly half of the new GPU capacity (approximately 10,300 GPUs), NVIDIA is effectively validating Yotta’s infrastructure as a world-class, reliable hub for global AI workloads .
Fueling the IndiaAI Mission and Sovereign AI
Perhaps the most significant impact of this supercluster is its alignment with the IndiaAI Mission. The Indian government has been pushing for domestic GPU capacity to reduce dependence on foreign cloud providers, and Yotta is rising to meet that challenge.
Roughly three-fourths of the GPUs deployed under the IndiaAI Mission currently come from Yotta’s infrastructure . With this new expansion:
- Startups and Researchers: Entities like Sarvam AI, Krutrim, Bhashini, and IIT Bombay will gain access to affordable, high-performance compute for building foundational Indian language models .
- Data Localization & DPDP: By running workloads on-shore, Indian enterprises can ensure compliance with the Digital Personal Data Protection (DPDP) Act, keeping sensitive data within Indian jurisdiction while leveraging world-class AI power .
Yotta’s philosophy, as stated by its leadership, is clear: “From India, for India, and for the world.” .
The Ecosystem Impact: Startups, GCCs, and Global Hyperscalers
India’s AI startup scene is already buzzing with activity. However, access to thousands of GPUs has been a major bottleneck. By increasing India’s compute capacity nearly five to six times, this supercluster will democratize AI development .
Furthermore, with over 1,800 Global Capability Centres (GCCs) in India employing millions, there is a massive demand for local “AI factories.” NVIDIA’s Shanker Trivedi recently noted that every GCC needs its own local AI factory to convert data and IP into intelligence . Yotta’s infrastructure provides that foundation.
The recent Union Budget 2026-27 also sweetens the pot by offering a 20-year tax holiday to foreign companies procuring data centre services in India, making it financially irresistible for global firms to anchor their AI operations here .
Technical Deep Dive: Shakti Studio and Open Models
Beyond the raw hardware, Yotta is enhancing its Shakti Studio AI platform.
- Developers will gain access to NVIDIA Nemotron open models and NVIDIA NIM microservices .
- This allows for transparent fine-tuning and customization, enabling “sovereign AI development” where models can be tailored to India’s unique linguistic and cultural diversity without relying on black-box foreign models .
Environmental and Strategic Considerations
With great power comes great responsibility—and great power consumption. A hyperscale facility of this magnitude, consuming significant megawatts of power, raises questions about sustainability. Yotta has indicated a focus on green energy sourcing, but as India scales towards an estimated requirement of millions of GPUs in the coming years, the intersection of AI infrastructure and environmental impact will be a critical conversation .
Strategically, this move also reflects a shift in global supply chains amid US export controls. By deepening partnerships with NVIDIA in India, the country positions itself as a trusted, secure destination for advanced AI compute outside of the traditional US-China axis .
Timeline: When Will It Go Live?
- Current Status: Yotta already operates over 10,000 NVIDIA GPUs live in production .
- Immediate Future: Another 8,000 GPUs are going live within the next quarter .
- The Big Leap: The 20,736 Blackwell Ultra GPUs are expected to go live by August 2026 .
- Long-term Roadmap: Yotta aims to scale beyond 80,000 NVIDIA GPUs by FY27 .
Conclusion: India’s Hyper-Growth AI Moment
The Yotta AI Supercluster is more than just a business expansion; it is a cornerstone of India’s digital future. By building infrastructure capable of competing with global leaders, India is sending a clear signal to the world: we have the talent, the data, and now, the compute.
As players like Jio, Airtel, and AdaniConneX also race to scale their hyperscale facilities, the ecosystem is entering a hyper-growth mode. For startups dreaming of the next breakthrough in generative AI, for enterprises aiming to automate at scale, and for the government pushing the boundaries of e-governance, the AI factory is now open for business in India.
