AI Infrastructure for GPU-Based Servers

How does this plan of the government support the SI community?

- DR ARCHANA VERMA

This investment not only helps the AI industry but also promotes collaboration and progress in areas like supercomputing, Cloud services and high performance computing. Overall, it’s a positive step for India’s tech future. —Sanjay Ruparel, Director, Ruparel Computers

The Electronics and IT Secretary S Krishnan has announced that the government is considering increasing compute capacity through viability gap funding under a Rs 10,372/crore India AI mission. This initiative aims to build high-tech capabilities in AI through a public-private partnership model. The increasing advancements in AI have led to a significant rise in the demand for GPU-based servers. Unlike traditional CPUs, GPUs are more suited for AI tasks due to their ability to handle parallel processing. This makes them ideal for complex computations, such as training neural networks and processing large datasets.

Enhancing Capacity

Under the mission, supercomputing capacity with over 10,000 GPUs will be made available to various stakeholders, creating a foundation for an AI ecosystem in India. The mission allocates more than Rs 4,500/- crore for building this computing capacity; and further funding will be considered based on the actual capacity developed.

AI Services on Cloud and Supercomputing Capacity