Key Highlights
- E2E Networks signs MoU with Larsen and Toubro-Vyoma to scale GPU cloud infrastructure in India.
- Partnership aims to expand sovereign high-performance GPU computing capacity.
- L and T-Vyoma infrastructure to integrate with E2E’s AI-native cloud platform.
- Integration powered by E2E’s Technology Integration &
- Runtime (TIR) platform.
- Collaboration focuses on technical integration, pricing frameworks and operational alignment.
- Initiative supports rising enterprise and AI demand for high-performance computing.
- MoU remains subject to execution of definitive agreements between both companies.
E2E Networks Limited has announced the signing of a Memorandum of Understanding (MoU) with Larsen & Toubro-Vyoma, the data center and cloud services business of Larsen & Toubro Limited, to collaborate on expanding GPU-based cloud infrastructure in India. The partnership aims to accelerate the deployment of high-performance computing capacity aligned with the country’s growing artificial intelligence (AI) ecosystem.
Under the proposed collaboration, GPU infrastructure developed or deployed by Larsen & Toubro-Vyoma is expected to be integrated into E2E Networks’ AI-native cloud platform. The initiative is designed to enable large-scale commercialization of GPU computing resources while supporting enterprise and AI workloads requiring advanced processing capabilities.
The integration will leverage E2E Networks’ proprietary Technology Integration & Runtime (TIR) platform, which focuses on optimized performance, enhanced observability, workload intelligence, and predictable computing outcomes. The companies intend to jointly work on technical integration, pricing models, operational alignment, and commercial frameworks to ensure scalable and efficient delivery of GPU cloud services.
The collaboration brings together Larsen & Toubro-Vyoma’s infrastructure execution expertise and E2E Networks’ hyperscale AI cloud capabilities. The companies aim to strengthen sovereign AI infrastructure in India by expanding domestic GPU capacity and enabling advanced computing resources for enterprises, startups, and research institutions.
Management from both organizations indicated that demand for AI and high-performance computing infrastructure is rising rapidly across sectors. The partnership is expected to support India’s broader ambitions in artificial intelligence, digital transformation, and advanced computing deployment.
The companies clarified that the MoU establishes a framework for cooperation and remains subject to the execution of definitive agreements between the parties.
Industry observers view the partnership as part of a broader trend of domestic technology players investing in sovereign cloud and AI infrastructure, as demand for GPU computing accelerates across generative AI, analytics, and enterprise automation use cases.