NeevCloud, an AI Supercloud offering accelerated cloud services, has lunched AI SuperCloud. The company said via a release that it aims to make AI and Supercomputing and help users in resolving India's core challenges by deploying AI cloud infrastructure including 40,000 GPUs and storage worth $1.5 billion by 2026.
The India AI 2023 report by MeitY foresees a significant boost to the Indian economy, estimating AI to contribute $967 billion by 2035 and $450-500 billion by 2025. This is anticipated to play a crucial role in achieving the 10 per cent target of the $5 trillion GDP by 2027. While MSMEs are expected to drive this growth, challenges such as affordability, billing, transparency, and personalised support exist.
NeevCloud aims to address these challenges and democratize AI and supercomputing access for enterprises and start-ups. Introducing the 'AI Supercomputing as a Service' model, NeevCloud offers the world's lowest Cloud GPU prices at $1.69/hour, reducing costs by up to 50 per cent, as claimed by the company.
This initiative empowers companies to utilize Generative AI and deploy Large Language Models (LLM) across diverse use cases, addressing India's unique challenges, the statement added.
Narendra Sen, founder and CEO, NeevCloud, said, "Our aim is to create next-generation cloud infrastructure in India that will fuel the vision of making India into a $5 trillion economy."
“The growth of AI and Generative AI applications and high-performance cloud computing is adding to the increasing demand for data centers in India that can support these workloads. The data center industry is evolving to provide specialised solutions to meet these demands driven by AI, cloud computing, and digital transformation. Rearchitecting the data center industry to meet these needs can lead to better optimisation and value creation in the data center industry,” said Rachit Mohan, APAC Lead, Data Center Leasing and India Lead, Data Center Transactions, JLL.
NeevCloud can enable confidential machine learning by creating SuperClusters that directly allocate to the BFSI, automotive, and healthcare organisations. It has the potential to assist businesses of all scales, research institutions, and diverse industries in advancing their AI strategies.
It can help companies accelerate the development of high-performance computing use cases of AI/ML like fraud detection, algorithmic trading, and risk modeling in the financial services industry; high-resolution medical imaging, genomics and sequencing, and drug discovery in the healthcare industry. In the automotive industry, it can facilitate the development of autonomous driving, design and manufacturing, and predictive maintenance, the company said.