E2E Cloud deploys GPU clusters in Delhi and Chennai

Cloud service provider E2E Cloud on Thursday announced that it has deployed NVIDIA GPU infrastructure. The company has installed 1,024 NVIDIA H200 GPUs at each of its two clusters in Delhi-NCR and Chennai. 

The NVIDIA H200 GPUs offer industry-leading performance, making them particularly desirable for training and fine-tuning large-scale AI models like DeepSeek and other advanced language models. With a total of 288.8 TB of GPU RAM and 2.4× higher memory bandwidth (4.8 TB/s), these clusters provide the necessary computational power to handle memory-intensive workloads efficiently, the company said in a statement. 

“By strategically placing these clusters in Delhi NCR and Chennai and integrating them with our TIR Artificial Intelligence/Machine Learning (AI/ML) Platform, we are making cutting-edge AI computing more accessible and efficient for enterprises, researchers, and developers,” said Tarun Dua, Managing Director of E2E Cloud.

“TIR AI/ML Platform makes accessing and utilising the GPUs seamless. Designed for efficiency, TIR eliminates infrastructure setup complexities, enabling enterprises and developers to launch their training, fine-tuning, and inference workloads with just a few clicks”.

Beyond training large-scale AI models, this deployment of H200s is ideal for real-time AI-driven applications in healthcare, autonomous systems, financial analytics, and next-generation research.

Enterprises with stringent data residency and compliance requirements can deploy these high-performance AI solutions through E2E Cloud’s Sovereign Cloud Platform. This ensures regulatory adherence while delivering the same industry-leading AI computing power to businesses operating in sensitive domains such as government, finance, and healthcare, the company said. 

Notably, last month, E2E Cloud, the cloud platform offering of E2E Networks, launched Sovereign Cloud Platform. The AI-based cloud solution aims to give enterprises, governments, and data centers full control over their digital infrastructure by addressing concerns around data sovereignty, vendor lock-in, and cloud technology sanctions.