Image Source: E2E Cloud
E2E Networks Ltd, India’s leading AI hyperscaler and cloud infrastructure provider, has announced a major milestone with a total order value of approximately ₹1.77 billion. The company has also received a formal letter confirming GPU allocation to Gnani AI, a fast-growing voice AI startup. These developments mark a significant leap in E2E’s mission to democratize access to high-performance computing for India’s AI ecosystem.
The announcement comes amid surging demand for generative AI infrastructure and positions E2E Networks as a critical enabler of scalable, cost-effective GPU services across sectors.
Key Highlights of the Announcement
• E2E Networks has secured orders worth ₹1.77 billion, reflecting strong demand for its GPU-based cloud infrastructure
• The company has received an official letter confirming GPU allocation to Gnani AI, a Bengaluru-based voice AI firm
• The allocation includes 1,024 NVIDIA H200 SXM GPUs with Infiniband networking, tailored for high-throughput AI workloads
• The infrastructure will be deployed across E2E’s data centers in Delhi NCR and Chennai
Strategic Importance of the Gnani AI Allocation
Gnani AI, known for its enterprise-grade speech recognition and conversational AI platforms, will leverage E2E’s GPU clusters to scale its model training and inference capabilities. The allocation is part of a broader ₹88 crore contract awarded under the IndiaAI mission, a government-backed initiative to build national AI infrastructure.
• The GPUs will support real-time voice analytics, multilingual model training, and edge AI deployment
• The contract spans 12 months, with immediate infrastructure provisioning and full-service support
• This partnership strengthens E2E’s positioning as a preferred vendor for AI startups and public sector initiatives
Infrastructure and Technical Specifications
E2E Networks has rapidly scaled its GPU capacity, now housing over 600 GPUs across two data centers. The newly allocated H200 SXM units represent the latest in NVIDIA’s high-performance architecture, optimized for generative AI, large language models, and deep learning frameworks.
• Each GPU cluster is equipped with Infiniband fabric for ultra-low latency and high bandwidth
• E2E’s proprietary cloud interface offers simplified deployment, billing, and workload management
• The infrastructure supports containerized environments, enabling seamless integration with Kubernetes and ML pipelines
Market Response and Financial Implications
The ₹1.77 billion order book signals robust growth momentum for E2E Networks. The company’s shares were trading at ₹2,002.90 on the NSE as of September 3, 2025, reflecting investor confidence in its long-term strategy. Analysts expect further upside as E2E expands its footprint in AI infrastructure and enterprise cloud services.
• The company’s pricing model offers 50 to 60 percent cost savings compared to global hyperscalers
• E2E’s focus on user-friendly interfaces and tailored solutions has attracted a diverse client base, from startups to government bodies
• The Gnani AI allocation may serve as a blueprint for future deployments under the IndiaAI mission
Regulatory Compliance and Governance
E2E Networks has confirmed that the GPU allocation and associated contracts are not related party transactions. All disclosures have been made in accordance with SEBI’s Regulation 30, ensuring transparency and compliance.
• The company has maintained timely updates via NSE filings and its investor relations portal
• No equity dilution is involved in the current order execution
• The infrastructure deployment is expected to be completed within Q3 FY2025-26
Looking Ahead: Scaling India’s AI Backbone
With this landmark order and GPU allocation, E2E Networks is poised to play a central role in shaping India’s AI infrastructure. The company is exploring further collaborations with academic institutions, research labs, and enterprise clients to expand its GPU-as-a-service offerings.
• Plans are underway to add 1,000 more GPUs by mid-2026, including models from alternative vendors like AMD and Intel
• E2E may introduce fractional GPU ownership models for retail investors and AI developers
• The company’s next earnings call is expected to detail roadmap updates and strategic partnerships
Sources: India Infoline, The Hindu Business Line, E2E Networks Blog, Trak.in
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