E2E Cloud Launches NVIDIA H200 GPU Clusters in Delhi NCR and Chennai
E2E Cloud has unveiled one of the country’s most extensive NVIDIA H200 GPU clusters, strengthening India’s AI computing capabilities. The deployment includes two high-performance clusters, each featuring 1,024 NVIDIA H200 GPUs, strategically placed in Delhi NCR and Chennai. With 2,048 GPUs, the infrastructure delivers 288.8 TB of GPU RAM and 4.8 TB/s memory bandwidth, providing the power necessary for training and fine-tuning open source AI models such as DeepSeek and Meta’s Llama. The NVIDIA H200 GPUs are designed to handle memory-intensive workloads with exceptional efficiency, offering a 2.4× improvement in memory bandwidth. “E2E Cloud’s investment in India’s largest NVIDIA H200 GPU deployment underscores our commitment to building the country’s most advanced AI infrastructure,” said Tarun Dua, MD of E2E Cloud. “By strategically placing these clusters in Delhi NCR and Chennai and integrating them with our TIR AI/ML Platform, we are making cutting-edge AI computing more accessible and efficient for enterprises, researchers, and developers.” The TIR AI/ML Platform simplifies access to these GPUs, removing infrastructure setup complexities and enabling users to launch training, fine-tuning, and inference workloads with minimal effort. “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,” Dua added. Beyond AI model training, the deployment supports real-time AI-driven applications in sectors such as healthcare, autonomous systems, and financial analytics. Additionally, E2E Cloud’s Sovereign Cloud Platform ensures compliance with stringent data residency regulations, making it an ideal solution for government, finance, and healthcare organisations requiring high-performance AI computing within regulatory frameworks. Last month, E2E Cloud launched its Sovereign Cloud Platform, an AI-powered cloud solution that aims to give enterprises, governments, and data centres full control over their digital infrastructure. The platform addresses concerns related to data sovereignty, vendor lock-in, and cloud technology restrictions.
With a total of 2,048 GPUs, the infrastructure delivers 288.8 TB of GPU RAM and 4.8 TB/s memory bandwidth, providing the power necessary for training and fine-tuning open source AI models.
E2E Cloud has unveiled one of the country’s most extensive NVIDIA H200 GPU clusters, strengthening India’s AI computing capabilities.
["AI GPUs", "Developers", "E2E Networks", "NVIDIA"]
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["AI", "ML", "analytics", "Aim", "edge AI", "R", "Go", "Git", "GAN", "llm_models:Llama"]
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.