E2E Cloud Launches India's Largest NVIDIA H200 GPU Clusters, Boosting AI Computing Power

E2E Cloud Launches NVIDIA H200 GPU Clusters in Delhi NCR and Chennai

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. 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.

E2E Cloud Expands AI Infrastructure With High-Performance NVIDIA H200 Clusters

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 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 with unmatched efficiency. "E2E Cloud's investment is India's largest NVIDIA H200 GPU deployment underscores our commitment to building the country's most advanced AI infrastructure," said Mr. Tarun Dua, Managing Director 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."

E2E Cloud Deploys Massive NVIDIA H200 Clusters in Delhi & Chennai, Setting New Standard for AI Compute Power in India

State-of-the-art infrastructure with 2,048 H200 GPUs now accessible via TIR AI/ML Platform E2E Cloud, a leading AI-focused cloud provider, proudly announces the deployment of India's largest NVIDIA H200 GPU infrastructure, delivering a quantum leap in AI computing capabilities. With two state-of-the-art clusters strategically located in Delhi NCR and Chennai, each boasting 1,024 NVIDIA H200 GPUs, E2E Cloud is empowering India to lead the global AI revolution. 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 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 with unmatched efficiency. "E2E Cloud's investment is India's largest NVIDIA H200 GPU deployment underscores our commitment to building the country's most advanced AI infrastructure," said Mr. Tarun Dua, Managing Director 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." Further, Mr. Tarun Dua, Managing Director of E2E Cloud added that "TIR AI/ML Platform makes accessing and utilizing 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. With this milestone, E2E Cloud continues to position itself at the forefront of India's AI revolution, empowering businesses and innovators with the computational power they need to drive the future of artificial intelligence.