E2E Networks Goes Live with Next-Generation NVIDIA B200 Cluster for Sovereign AI Platform

E2E Networks Goes Live with Next-Generation NVIDIA B200 Cluster for Sovereign AI Platform​

E2E Networks Limited, a provider of CloudGPU infrastructure and an early NVIDIA Cloud Partner in India, has taken a significant step in advancing its Sovereign AI CloudGPU platform, TIR. The company has announced the operational deployment of a next-generation NVIDIA B200 cluster, utilizing NVIDIA Certified Reference Architecture.

The deployment reinforces E2E Networks’ position in offering enterprise-ready infrastructure optimized for large-scale training and inference workloads. This expansion is crucial as India accelerates its investments in foundational AI capabilities through the IndiaAI Mission, driving increased demand for high-performance, scalable, and locally hosted AI infrastructure.

E2E Networks provides the Sovereign AI CloudGPU platform, TIR, which is built to support large-scale training and inference workloads. The platform is optimized for use across multiple sectors, including agentic AI, healthcare, finance, manufacturing, and agriculture, drawing power from open-source ecosystems, NVIDIA Enterprise software, and NVIDIA Nemotron open models.

Expanding Advanced AI Computing Infrastructure​

E2E Networks is aggressively expanding its advanced accelerated computing infrastructure, including next-generation GPU clusters built on NVIDIA architectures such as Hopper and Blackwell-based systems. The company's AI infrastructure is designed around high-performance reference architectures that integrate InfiniBand and high-speed networking to maximize compute efficiency for training and deploying large-scale AI models.

Tarun Dua stated that the deployment of the NVIDIA B200 infrastructure marks another significant advancement for the company in building one of the most advanced AI cloud platforms in India. According to Dua, the Blackwell architecture unlocks a new era of accelerated computing, enabling organizations to innovate faster, train larger AI models, and deploy production grade AI applications with significantly improved efficiency and performance.

The newly deployed B200 cluster is integrated within E2E's TIR AI/ML Platform. This integration ensures seamless access to high performance GPU computing through simplified deployment workflows. The platform allows users to rapidly provision AI infrastructure for large-scale model training, fine-tuning, inference, and large-scale AI production deployments, all without operational complexity.

Further, Tarun Dua emphasized that the company's focus extends beyond mere compute power. He noted that through the TIR AI/ML Platform, enterprises and developers can leverage Blackwell-powered computing capabilities while maintaining security, compliance, high performance, scalability, and operational simplicity. This offering is supported by a team with extensive experience in building and operating AI infrastructure at scale.

E2E Stock Price Movement​

Despite previously touching its 52-week high of ₹4070, E2E Networks Limited shares today slipped by 0.82% to close at ₹3922.4. The equity saw significant trading action today, settling at the lower end of its range after moving between ₹3813.1 and ₹4070 on a volume of 313,098 shares.