E2E launches next-gen NVIDIA B200 cluster on TIR platform
E2E Networks Limited launched a next-generation NVIDIA B200 cluster on May 29, 2026, utilizing NVIDIA Certified Reference Architecture. The cluster is deployed on the company's TIR AI/ML Platform to support large-scale AI training and inference workloads.

*this image is generated using AI for illustrative purposes only.
E2E Networks Limited has launched a next-generation NVIDIA B200 cluster using NVIDIA Certified Reference Architecture, expanding its Sovereign AI CloudGPU platform, TIR. The deployment, announced on May 29, 2026, aims to support large-scale training and inference workloads as India accelerates investments in foundational AI capabilities through the IndiaAI Mission.
The company is aggressively expanding its advanced accelerated computing infrastructure, which includes GPU clusters built on NVIDIA architectures such as Hopper and Blackwell-based systems. The AI infrastructure is designed around high-performance reference architectures featuring InfiniBand and high-speed networking to maximize compute efficiency for training and deploying large-scale AI models.
Tarun Dua, a representative of the company, stated that the deployment of NVIDIA B200 infrastructure marks a significant step toward building one of the most advanced AI cloud platforms in India. He noted that the Blackwell architecture enables organizations to innovate faster, train larger AI models, and deploy production-grade AI applications with improved efficiency and performance.
The newly deployed B200 cluster is built on e2e networks 's TIR AI/ML Platform. This platform provides seamless access to high-performance GPU computing through simplified deployment workflows. It allows users to rapidly provision AI infrastructure for large-scale model training, fine-tuning, inference, and production deployments without operational complexity.
Dua further emphasized that the focus extends beyond delivering raw compute power to democratizing access to advanced AI infrastructure. Through the TIR AI/ML Platform, enterprises and developers can leverage Blackwell-powered computing capabilities with security, compliance, high performance, scalability, and operational simplicity.
Historical Stock Returns for E2E Networks
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.73% | +17.74% | +28.69% | +69.79% | +36.96% | +10,373.70% |
How will the introduction of the B200 cluster impact E2E Networks' competitive positioning against other cloud providers in the Indian market?
What specific sectors or industries in India are expected to be the primary adopters of this high-performance Blackwell architecture?
How does this deployment align with the broader goals and funding allocations of the IndiaAI Mission?


































