E2E Networks Limited, a leading AI-focused cloud infrastructure provider in India, has announced the successful procurement of advanced NVIDIA B200 GPU clusters at its data center in Chennai. This significant investment marks a key milestone in delivering cutting-edge AI compute capabilities domestically, empowering Indian enterprises, researchers, and innovators with next-generation technology.
Key Highlights of the NVIDIA B200 GPU Deployment
- Cluster Size: 1,024 NVIDIA B200 GPUs
- Total GPU RAM: Approximately 184 TB
- Performance Edge: Higher memory bandwidth than previous-generation GPUs, ideal for memory-intensive AI workloads
- Location: State-of-the-art data center in Chennai
The B200 GPUs, part of NVIDIA’s Blackwell architecture, are designed for superior performance in training and fine-tuning large-scale AI models, including advanced language models like DeepSeek.
Leadership Perspective: Driving India’s AI Transformation
Mr. Tarun Dua, Managing Director of E2E Cloud, stated:
“E2E Cloud’s investment in NVIDIA B200 GPU clusters underscores our commitment to building India’s most advanced AI infrastructure. By strategically deploying these clusters in Chennai, we aim to make next-generation AI computing more accessible, efficient, and locally available to Indian enterprises, researchers, and innovators.”
This move positions E2E Networks as a frontrunner in India’s GPU cloud ecosystem, building on previous deployments of NVIDIA H200 and H100 GPUs.
Applications Across Industries
The new infrastructure is optimized for:
- Large-Scale AI Model Training and fine-tuning
- Real-Time AI Applications in healthcare, autonomous systems, financial analytics, and advanced research
- Sovereign Cloud Compliance: Full data residency and regulatory adherence via E2E’s Sovereign Cloud Platform
Enterprises requiring stringent compliance can now access world-class NVIDIA B200 performance entirely within Indian borders.
