To Make India Self-Reliant For AI Needs, Yotta Launches DeepSeek-Powered myShakti Sovereign Gen AI Chatbot

Yotta Data Services, a provider of digital transformation solutions, has announced the launch of myShakti, a fully sovereign B2C generative artificial intelligence chatbot that runs on the DeepSeek open-source model. Developed by Yotta and hosted entirely in India, myShakti aims to democratise access to advanced AI while ensuring data sovereignty.

Yotta has taken the DeepSeek model and deployed it within NM1, its data centre, on an advanced server infrastructure comprising 16 nodes of H100 GPUs—a total of 128 H100s. Available as a beta version on a web app, the product is currently free to use.

Darshan Hiranandani, CEO of the Hiranandani Group and chairman and co-founder of Yotta Data Services, said, “Yotta’s myShakti is a response to the clarion call given by Hon. Min. Ashwini Vaishnaw to host DeepSeek within Indian borders. This initiative underscores our dedication to making India self-reliant for its AI needs.”

Understanding the complexities of early-stage AI deployment, Yotta has integrated a feedback mechanism to refine and improve myShakti capabilities over time. Through this, Yotta hopes to fuel widespread adoption and generate valuable insights for continuous enhancement of myShakti’s capabilities.

“The integration of DeepSeek is a true game-changer—its open-source nature and low compute requirements drastically reduce costs, accelerating AI adoption much like the mobile revolution that transformed India,” said Sunil Gupta, co-founder, CEO, and MD, Yotta Data Services.

He further added, “This could be India’s Sputnik moment for AI—an inflection point that propels the nation to the forefront of global AI innovation.”

DeepSeek’s recent breakthrough challenges the traditional reliance on expensive AI infrastructure by proving that efficiency can rival raw computational power. By reportedly using just $5.6 million worth of older GPUs, DeepSeek has showcased the potential of reinforcement learning to train competitive AI models, sparking a shift towards resource-efficient AI development.

This innovation, coupled with its open-source nature, presents an opportunity for India to customise and deploy AI tailored to its socio-cultural, linguistic, and geopolitical realities, democratising AI access while addressing national data sovereignty priorities.