As enterprises move AI workloads into production, choosing a cloud provider involves more than compute availability. Performance, predictable costs, data control and reliable technical support are becoming increasingly important as businesses look to scale workloads without adding operational complexity.
In an exclusive interaction with APAC News Network, Vinay Chhabra, Co-Founder & MD, AceCloud by RTDS, shared his perspective on how AceCloud is differentiating itself in the cloud market by combining enterprise-grade capabilities with cost efficiency, greater control and hands-on support.
“We are trying to give Indian enterprises the capability they expect from a large cloud provider, the economics of a specialist, and the control they would have if they built the infrastructure themselves, without having to build it themselves.”
Chhabra discussed how Indian enterprises, particularly mid-market businesses, are evaluating alternatives to global hyperscalers as cloud costs rise. He highlighted the importance of predictable pricing, rupee billing, migration assistance and 24×7 human support in helping businesses manage their cloud environments more effectively.
The interaction also explores AceCloud’s expanding portfolio across GPU compute, inference endpoints, disaster recovery and managed cloud services, along with growing AI infrastructure requirements across sectors such as BFSI, healthcare, telecom and media. Chhabra also shared his views on sovereign cloud, production-scale AI adoption and why infrastructure decisions must account for performance, economics, security and operational requirements together.
Read More on: APAC News Network
