Nvidia, Yotta partner to deploy APAC's largest DGX Cloud Cluster in India

DGX Cloud has been utilising Yotta's GPU infrastructure over the past year, and the expanded deployment reflects growing regional and global demand for AI compute

Nvidia will establish one of Asia-Pacific’s largest DGX (Deep GPU Xceleration) Cloud clusters within Yotta’s HGX B300 Blackwell Ultra supercluster under a four-year engagement valued at more than $1 billion, Yotta Data Services announced on Wednesday.

 

According to the companies, DGX Cloud has been using Yotta’s graphics processing unit (GPU) infrastructure over the past year, and the expanded deployment reflects rising regional and global demand for artificial intelligence (AI) compute.

 

Separately, Yotta announced plans to deploy 20,736 liquid-cooled Nvidia Blackwell Ultra GPUs, with total investment exceeding $2 billion. The infrastructure is expected to go live by August.

 

Yotta currently operates more than 10,000 Nvidia GPUs in production, with another 8,000 GPUs expected to go live next quarter. Following the August 2026 deployment of 20,736 Blackwell Ultra GPUs, the company plans to scale beyond 80,000 GPUs by 2026–27, supported by phased expansion across its data centre campuses.

 

 

The deployment is expected to place India among a small group of countries capable of hosting frontier-scale AI compute infrastructure, the company said.

 

The collaboration comes as AI supply chains increasingly localise.

 

“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 an 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,” said Jensen Huang, cofounder and chief executive officer of Nvidia Corporation.

 

Yotta’s Blackwell supercluster is built on Nvidia’s reference architecture and integrates 800 gigabits per second Nvidia Quantum-X800 InfiniBand networking, liquid-cooling systems, and more than 40 petabytes of high-performance parallel file system storage.

 

According to the company, the infrastructure is designed to support trillion-parameter foundation model training and high-throughput inference workloads capable of handling millions of simultaneous prompts. Yotta said its AI factories are aimed at reducing time to market and lowering compute cost per token for enterprises and AI model developers.

 

“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 focuses on building scalable infrastructure that serves both national priorities and international AI demand,” said Darshan Hiranandani, cofounder and chairman of Yotta Data Services.

 

Yotta is also committing more than 10,000 Nvidia B300 GPUs from the supercluster to the IndiaAI Mission to support domestic foundation model development, research institutions, startups, and public-sector AI platforms.

 

Earlier this month, the Digital India Bhashini (Bhasha Interface for India) division moved Bhashini’s language AI platform to Yotta’s Government Community Cloud and Shakti Cloud. With the move, Bhashini now operates entirely on Indian Cloud and GPU infrastructure, keeping its datasets, models, and user interactions within the country’s jurisdiction.