Yotta Data Services, promoted by the Hiranandani Group, is rapidly emerging as a powerhouse in India’s artificial intelligence landscape. Backed by Nvidia’s H100 GPUs, Yotta has launched a wide suite of services through its flagship Shakti Cloud. Its recent partnership with AI startup Sarvam to build India’s first open-source foundational model, Sarvam 1, is a bold step in mainstreaming AI in the country.
Sarvam 1 Trained on Shakti Cloud: A Leap for Open-Source AI in India
Yotta’s Shakti Cloud infrastructure has enabled the development of Sarvam 1, the country’s pioneering open-source AI foundational model. The partnership with Sarvam AI is focused on scaling large language models (LLMs) that support Indian languages and domains, moving away from English-centric models. The collaboration has already yielded AI agents in 10 Indian languages to streamline tasks like customer support and feedback collection.
“Yotta’s scalable and compliant GPU infrastructure has optimised our AI workflows, reducing costs and accelerating innovation,” said Vivek Raghavan, co-founder of Sarvam AI.
Yotta AI Infrastructure Drives Startups and Enterprise AI Growth
In addition to Sarvam, companies like RenderNet AI rely on Shakti Cloud to manage cost-effective and high-performance inferencing for image and video generation. RenderNet CEO Bhagaban Behera confirmed that the infrastructure ensures high uptime and real-time performance, which is essential for rendering workloads.
Yotta has rolled out dedicated innovation programs like Rudra and Shambho to foster AI entrepreneurship. Rudra provides up to $50,000 in credits to Nvidia Inception and Connect programme members, while Shambho, in collaboration with Nasscom and the Telangana AI Mission, offers up to $200,000 in credits for GenAI Foundry-backed startups. These initiatives aim to support over 3,600 deeptech startups across India.
India’s Largest AI Cloud: Shakti Cloud and GPU-Optimised Data Centres
Sunil Gupta, CEO & MD of Yotta, emphasized that Shakti Cloud hosts India’s largest concentration of Nvidia H100 GPUs, purpose-built for training and deploying LLMs. The infrastructure supports GPU-as-a-service (GPUaaS) and offers API endpoints for enterprises to build custom AI solutions with low latency.
Yotta is expanding its data centre footprint with power-dense, GPU-optimised facilities in Navi Mumbai (NM1), Greater Noida (D1), GIFT City (G1), and Hyderabad (H1). These centres are equipped to handle massive compute loads required for emerging AI technologies, supporting education, research, and commercial applications.
Conclusion
With Yotta AI infrastructure powering efforts like Sarvam 1, AI Labs, and startup credits, the company is placing India on the global AI innovation map. As Gupta noted, the future of AI in India hinges on building language-inclusive models and scalable infrastructure, goals Yotta is actively enabling. As AI adoption accelerates, Shakti Cloud is set to play a central role in shaping the nation’s digital economy.
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