AceCloud, a brand of Real Time Data Services, has launched an enterprise-grade US cloud region in Atlanta, expanding its global infrastructure to support artificial intelligence (AI), machine learning (ML) and high-performance computing (HPC) workloads, the company said on Wednesday.
Designed for production environments, the Atlanta region offers multi-zone redundancy, low-latency performance and compliance-ready deployment, enabling enterprises to run data-intensive workloads with predictable performance. The new region complements AceCloud’s existing cloud infrastructure in Mumbai and Noida, creating a unified, multi-region platform that supports cross-region interoperability, disaster recovery and workload mobility.
The expanded footprint allows organisations to deploy applications closer to end users while maintaining consistent security, resilience and operational control across regions. For Indian enterprises in particular, the U.S. region enables AI training, analytics and customer-facing applications to be hosted nearer to American users, improving latency and overall user experience.
The Atlanta region has been optimised for AI model training, HPC simulations, big data analytics and GPU-based rendering. It supports CUDA-optimised GPU environments, including NVIDIA H200, L40s, L4 and RTX 6000 Ada GPUs, along with high-throughput networking and pre-configured MLOps toolchains. These capabilities are aimed at accelerating time-to-insight for AI startups, digital enterprises and media engineering teams.
AceCloud has also partnered with NetApp to deliver advanced data storage and orchestration across its India and U.S. regions. The partnership enables customers to deploy scalable, production-grade storage architectures across hybrid and multi-region environments, with a focus on compliance and operational consistency.
According to the company, the combined infrastructure and storage stack is intended to support use cases across sectors such as finance, healthcare, manufacturing and media, where low latency, high availability and data integrity are critical.
“The Atlanta region is built as a truly enterprise-class hub for global AI and HPC,” said Vinay Chhabra, Co-Founder and Managing Director of AceCloud. “With enterprise-grade reliability, cutting-edge NVIDIA GPU hardware and a deep technology partnership with NetApp, we are enabling organisations to scale AI workloads with confidence and transparent economics.”
AceCloud said it will continue to follow a transparent, region-aligned pricing model. GPU compute in the new region starts at INR 12,000 (around USD 135) per month, while object storage is priced from INR 870 (approximately USD 9.8) per TB per month. The company positions this pricing as a way to deliver enterprise-class performance at competitive costs, particularly for AI and HPC workloads that typically demand significant infrastructure investment.
With the Atlanta launch, AceCloud strengthens its position as a cross-border cloud provider focused on AI, ML and HPC use cases, offering enterprises greater flexibility in how and where they deploy critical workloads while maintaining control over performance, cost and compliance.
