Yotta’s Ambitious AI Vision
India is poised to become a significant player in the artificial intelligence (AI) sector, and Yotta Data Services is positioning itself at the forefront of this transformation. Sunil Gupta, cofounder, managing director, and CEO of Yotta Data Services, recently discussed the company’s strategy to supercharge India’s AI market through their Shakti Cloud offering on NVIDIA’s AI Podcast, hosted by Noah Kravitz, according to NVIDIA Blog.
Shakti Cloud: A Game Changer
Shakti Cloud, touted as India’s fastest AI supercomputing infrastructure, provides scalable GPU services for enterprises of all sizes. It boasts 16 exaflops of compute capacity, supported by over 16,000 NVIDIA H100 Tensor Core GPUs. This infrastructure aims to democratize access to high-performance computing resources, enabling businesses to harness AI’s full potential.
India’s AI Market Potential
During the podcast, Gupta highlighted India’s burgeoning AI market and the critical role Shakti Cloud will play in its growth. As the first Indian cloud services provider in the NVIDIA Partner Network, Yotta is uniquely positioned to accelerate AI adoption across various sectors, from healthcare to finance.
Sustainability and Energy Efficiency
Gupta also addressed the importance of balancing data center growth with sustainability and energy efficiency. Yotta Data Services is committed to deploying energy-efficient technologies to minimize the environmental impact of its data centers while scaling its infrastructure to meet increasing demand.
Future Prospects and Collaboration with NVIDIA
Yotta’s collaboration with NVIDIA is set to drive innovation and performance enhancements in AI applications. With plans to expand its capabilities further, Yotta aims to solidify its position as a leader in India’s AI ecosystem. Gupta’s insights suggest a future where scalable, efficient AI solutions are within reach for enterprises across the subcontinent.
For more insights from Sunil Gupta and to explore Yotta’s ambitious plans for India’s AI market, listen to the full episode on NVIDIA’s AI Podcast, available on various platforms.
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