E2E Networks Limited has accepted the resignation of Mr. M Kesava Reddy from the position of Chief Revenue Officer, effective June 30, 2026. The resignation was submitted on account of personal commitments and is classified under Regulation 16(1)(d) of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015 for Senior Management Personnel.

The company communicated the development to the National Stock Exchange of India Limited and BSE Limited on June 12, 2026. The disclosure was made in accordance with Regulation 30 and Schedule III of the SEBI Listing Regulations.

Mr. Reddy confirmed in his resignation letter that there are no other material reasons for his decision and that he has no claims or dues against the company or its officers. He requested the Board to file the necessary intimations with the statutory authorities under the Companies Act, 2013 and SEBI regulations.

Resignation Details

The following table outlines the key particulars of the resignation as disclosed by the company:

The company acknowledged the resignation and confirmed that the necessary filings have been submitted to the stock exchanges.

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.