Revolutionizing AI Data Management with VAST Data

The VAST Data Platform unifies storage, database, and containerized compute into a single, scalable software platform to power AI & deep learning in modern data centers and clouds.

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During an interaction with Vidushi, Jeff Denworth, Co-Founder, Vast Data discussed VAST Data’s strategic partnerships, market positioning, and innovative infrastructure solutions for AI and data management, and also highlighted their impact in India and alignment with APAC markets.

How does VAST Data’s OS for AI compare to Microsoft and Apple’s strategies?

The concept of an “operating system for AI” is quite intriguing. Historically, Apple and Microsoft established their foundations at the device level. However, tomorrow’s intelligent applications are increasingly being developed within enterprise data centers.

Organizations like NVIDIA are now building vast, large-scale infrastructures, some costing billions of dollars. These systems are pioneering new methods for preparing, training, inferring, and extracting insights from data, necessitating an entirely new infrastructure. This requires rethinking everything from the processor, an area where NVIDIA excels, to the networks, another field where NVIDIA also performs exceptionally well. The data platforms powering these new computers, which is VAST Data’s focus, are equally critical.

VAST Data aims to position its software as the essential data management and processing layer in every AI cloud data center and customer data center running generative AI applications. This involves ensuring that their software is integral to the infrastructure supporting these advanced AI systems.

What factors led VAST Data Management to India, and what trends support its operations there?

India has always been a central part of VAST Data’s global expansion plan. While the company is headquartered in New York City, we have been operating for over eight years and maintain a positive cash flow. This means we fund our global expansion without overspending venture capital.