What It Means to Be Called a World-Class AI Cloud 

When NVIDIA CEO Jensen Huang takes the stage, the industry takes notes. 

At GTC Taipei 2026, with the world’s most influential technology leaders tuned in, Jensen laid out NVIDIA’s vision for the next era of AI – factories that manufacture intelligence, sovereign compute reshaping geopolitics, and a new generation of regional cloud providers stepping into the center of the global AI story. And in that context, in front of that audience, he named Yotta as a world-class AI cloud. In fact, Yotta stood out as the only Indian AI cloud operator mentioned alongside global infrastructure leaders including CoreWeave, Nebius, Nscale, NAVER Cloud, Firmus, and others. 

The infrastructure moment no one saw coming 

Here’s what that recognition really means: the future of AI will not be built by a handful of Silicon Valley giants operating at planetary scale. It will be built by a new class of infrastructure providers – regional, sovereign, full-stack – capable of turning AI ambition into deployable, real-world outcomes. Companies that don’t just rent out GPUs, but build entire ecosystems around them. 

That is the role Yotta has spent the last few years relentlessly preparing for. 

In March 2024, when NVIDIA’s H100 GPUs were among the most sought-after pieces of technology, Yotta became the first company in India to receive and deploy a commercial consignment. Today, Shakti Cloud runs one of the largest AI compute platforms in the country, with 8,192 H100 GPUs and 1,024 L40 GPUs. By FY27–28, that number will grow beyond 80,000 next-generation GPUs, including NVIDIA Blackwell-based B200 and B300 architectures. Along the way, we became one of only six NVIDIA Cloud Partners globally to be designated a Reference Platform, and the first in Asia-Pacific to join the NVIDIA Exemplar Clouds initiative. 

Not a GPU farm. An AI ecosystem 

What sets Shakti Cloud apart is the completeness of what we’ve built around that infrastructure. AI Labs, AI Workspaces, virtual machines, bare metal, GPU clusters, serverless GPUs, fine-tuning services, and AI deployment platforms form a full-stack ecosystem designed to take organizations from experimentation to production at scale. At GTC, Yotta was featured in NVIDIA’s DSX AI Factory ecosystem for AI clouds, reinforcing its alignment with NVIDIA’s reference architecture for AI factory deployment. 

As part of the expanding NVIDIA AI Cloud network, Yotta joins a select global cohort of purpose-built AI clouds co-designed with NVIDIA’s full-stack AI infrastructure. As the industry shifts from model development to large-scale inference, this collaboration brings advanced AI factory capabilities directly to enterprises, startups, developers, researchers, and government organizations.  

At the same time, Yotta’s sovereign cloud architecture ensures data residency, regulatory compliance, and low-latency deployment, eliminating friction for organizations building and deploying agentic AI applications close to their users. NVIDIA provides the technology foundation, while Yotta delivers everything built around it: the infrastructure, cloud operations, cybersecurity capabilities, managed services, and ecosystem partnerships that production-scale AI demands. 

Beyond mere scale, what really excites us are the possibilities. 

Shakti Cloud powers platforms like BharatGen, BHASHINI – India’s national language platform under the Digital India initiative – and Sarvam, among others. Behind every model trained and every application deployed is a chance to make AI useful for millions of people across India, in their own languages, on their own terms. 

The shift Jensen described — and why it matters for India

Jensen’s presentation covered AI infrastructure, next-generation architectures, including Vera, NVIDIA’s first CPU built for AI agents, and the Vera Rubin platform, and a clear central thesis: AI is moving beyond chatbots toward agentic systems that reason, plan, and execute complex tasks independently. Data centers are being reimagined as AI factories – where electricity goes in and intelligence comes out. The metric that matters now is not uptime or capacity, rather it is tokens per watt.

This is precisely why regional AI clouds matter. The next wave will be built by companies that understand their region’s infrastructure, regulatory environment, and data sovereignty needs.

India is one of the world’s most significant AI opportunities – and it deserves infrastructure built to match that ambition. Jensen’s recognition of Yotta at GTC Taipei matters because it validates what we have believed for years: that sovereign, full-stack AI infrastructure is not a nice-to-have, it is foundational. We have been building that foundation. And we are just getting started.