E2E Cloud Deploys India’s Largest NVIDIA H200 AI Compute Clusters

K N Mishra

    03/Apr/2025

What's Covered in the Article:

  • E2E Cloud deploys 2,048 NVIDIA H200 GPUs in Delhi NCR and Chennai, enabling high-performance AI computing.

  • The TIR AI/ML platform simplifies access to the infrastructure, eliminating setup complexities for AI training and fine-tuning.

  • The clusters cater to AI applications in healthcare, finance, and research, ensuring compliance with India’s data residency regulations.

E2E Cloud, a leading AI-focused cloud provider, has taken a significant leap in AI computing infrastructure with the deployment of India’s largest NVIDIA H200 GPU clusters. These high-performance clusters, located in Delhi NCR and Chennai, feature 2,048 NVIDIA H200 GPUs—setting a new benchmark for AI compute power in India.

With industry-leading specifications, these clusters will support large-scale AI model training, fine-tuning, and inference, enabling researchers, enterprises, and developers to harness cutting-edge AI capabilities.

Unmatched AI Compute Power with NVIDIA H200 GPUs

Each of the two clusters hosts 1,024 NVIDIA H200 GPUs, offering:

  • 288.8 TB of GPU RAM, facilitating massive-scale AI computations.

  • 4.8 TB/s memory bandwidth, ensuring seamless processing of data-intensive workloads.

  • Superior performance for large AI models like DeepSeek and advanced LLMs, making AI training and deployment faster and more efficient.

According to Mr. Tarun Dua, Managing Director of E2E Cloud, this deployment represents India’s largest investment in NVIDIA H200 GPUs. The strategic placement of these clusters in Delhi NCR and Chennai aims to provide AI researchers and enterprises with powerful, locally available AI infrastructure.

TIR AI/ML Platform: Simplifying AI Model Training

To enhance accessibility, E2E Cloud has integrated the clusters with its TIR AI/ML Platform, which:

  • Eliminates complex AI infrastructure setup, allowing easy access to GPUs.

  • Supports one-click deployment of AI training, fine-tuning, and inference workloads.

  • Makes high-performance AI computing more accessible for startups, enterprises, and academic researchers.

“By integrating our clusters with TIR AI/ML Platform, we are ensuring that enterprises and developers can seamlessly access AI compute power without dealing with hardware complexities,” said Mr. Tarun Dua.

Expanding AI Applications in Critical Sectors

Beyond AI model training, the new NVIDIA H200 clusters will support real-time AI applications in:

  • Healthcare: AI-driven diagnostics, drug discovery, and medical imaging.

  • Autonomous Systems: Smart transportation, robotics, and AI-driven automation.

  • Financial Analytics: Fraud detection, predictive analytics, and algorithmic trading.

  • Next-Gen Research: AI-powered scientific simulations and computational biology.

Regulatory Compliance and Data Sovereignty

To meet India’s data residency and compliance requirements, these AI compute clusters will also be available via E2E Cloud’s Sovereign Cloud Platform. This ensures that government, finance, and healthcare organizations can leverage cutting-edge AI computing while staying compliant with data security regulations.

Conclusion

With the launch of India’s largest NVIDIA H200 AI compute clusters, E2E Cloud is driving the next phase of AI innovation in the country. By making high-performance AI infrastructure accessible and efficient, the company is empowering businesses, researchers, and innovators to push the boundaries of artificial intelligence.

This milestone solidifies E2E Cloud’s position as a leader in India’s AI revolution, paving the way for breakthroughs in AI-driven applications across industries.


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