Several companies in India have made significant orders for Nvidia chips.
As reported by TechCrunch, Nvidia CEO Jensen Huang has revealed a slew of partnerships with Indian firms to deploy its chips at its AI Summit in Mumbai.
Among those firms are Reliance Industries, Tech Mahindra, Tata Communications, and Yotta Data Services.
According to Huang, the deals include orders to the scale of "tens of thousands" of H100s specifically by Tata and Yotta.
Reliance and Nvidia will be building infrastructure for artificial intelligence (AI) applications in India. The partnership will see Reliance deploy Nvidia's GB 200 supercomputer technology.
"India will start with what is the absolute best technology you have," said Reliance chairman Mukesh Ambani. "We are building infrastructure for 1GW, which can be expandable to multiple at one location." That data center will be in Gujarat.
Tata Communications is upgrading its AI cloud infrastructure in India with Nvidia Hopper GPUs. The company will begin the first phase of its large-scale deployment of Hopper GPUs at the end of this year, while a second phase in 2025 will see the addition of Nvidia's Blackwell GPUs. According to Tata Communications, this will be one of India's largest supercomputers.
“Tata Communications’ AI cloud infrastructure, integrating Nvidia accelerated computing, will support businesses of all sizes — from AI startups to large enterprises — helping drive artificial intelligence transformation across various sectors of the Indian economy and creating a powerful ecosystem for AI innovation,” said Jay Puri, executive vice president of worldwide field operations at Nvidia.
Yotta Data Services has revealed six new AI platform services for its Shakti Cloud platform that incorporate Nvidia NIM microservices. These include an AI Lab as a Service, AI Workspace, Serverless AI Inferencing, and GPU-as-a-service offerings.
Tech Mahindra, meanwhile, intends to use Nvidia's chips and software to develop an AI model in Hindi dubbed Indus 2.0.
"Collaborating with Nvidia, we are setting a new benchmark for enterprise-grade AI development by seamlessly integrating gen AI, industrial AI, and sovereign large language models into the heart of global enterprises and industries," Atul Soneja, chief operating officer of Tech Mahindra, said.
Work on the model will be done at a Center of Excellence located within Tech Mahindra's labs in Pune and Hyderabad.
