E2E Networks Secures ₹177 Crore AI Infrastructure Order from MeitY, Acquires Jarvis Labs AI Assets

1 min read     Updated on 02 Sept 2025, 05:54 PM
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Riya DeyScanX News Team
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Overview

E2E Networks has won a ₹177 crore contract from the Ministry of Electronics and Information Technology to provide GPU resources for India's foundational AI model. The company will supply H100 SXM and H200 SXM GPU resources to GNANI AI for 360 days. Additionally, E2E Networks' board has approved the acquisition of AI/ML assets from Jarvis Labs AI Pvt Ltd, including intellectual property, hardware, domain, and customer assets. The company's shares closed 5.86% higher at ₹2,403.10 on the NSE following these announcements.

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*this image is generated using AI for illustrative purposes only.

E2E Networks , a leading provider of cloud infrastructure services, has made significant strides in the artificial intelligence (AI) sector with two major announcements that have caught investors' attention.

Ministry of Electronics and Information Technology Contract

E2E Networks has secured a substantial order worth ₹177.00 crore from the Ministry of Electronics and Information Technology (MeitY) under the IndiaAI Mission. This landmark contract positions E2E Networks at the forefront of India's push into artificial intelligence infrastructure.

Key details of the contract include:

  • The company will provide H100 SXM and H200 SXM GPU resources to GNANI AI.
  • The resources will be used for building India's foundational AI model.
  • The contract duration is set for 360 days.
  • The total GPU hours to be provided amounts to nearly 1.30 crore.
  • The GPUs will be deployed with InfiniBand network on a single fabric, ensuring high-performance computing capabilities.

This significant order underscores the government's commitment to advancing AI technologies in India and E2E Networks' capability to deliver high-end GPU resources for complex AI computations.

Strategic Acquisition to Expand AI/ML Offerings

In a move to bolster its artificial intelligence and machine learning (AI/ML) portfolio, E2E Networks' board has approved the acquisition of specific assets from Jarvis Labs AI Pvt Ltd, a Coimbatore-based company. The acquisition includes:

  • Intellectual Property (IP)
  • Hardware assets
  • Domain assets
  • Customer assets

This strategic acquisition is expected to enhance E2E Networks' capabilities in the AI/ML space, potentially opening up new revenue streams and market opportunities.

Market Response

The market has responded positively to these developments. E2E Networks' shares closed 5.86% higher at ₹2,403.10 on the National Stock Exchange (NSE), reflecting investor confidence in the company's growth strategy and its expanding role in India's AI infrastructure landscape.

These recent developments highlight E2E Networks' commitment to positioning itself as a key player in India's growing AI ecosystem. The substantial government contract and strategic acquisition are likely to strengthen the company's market position and contribute to its long-term growth prospects in the rapidly evolving field of artificial intelligence and cloud computing.

Historical Stock Returns for E2E Networks

1 Day5 Days1 Month6 Months1 Year5 Years
+5.86%-3.84%+4.67%+20.99%-2.66%+8,980.00%
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E2E Networks Reports Q1 Net Loss of ₹28 Crore, Revenue Dips to ₹361 Crore

1 min read     Updated on 22 Jul 2025, 05:47 PM
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Reviewed by
Jubin VergheseScanX News Team
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Overview

E2E Networks, a cloud infrastructure provider, reported a net loss of ₹28.00 crore in Q1, compared to a profit of ₹101.00 crore in the same quarter last year. Revenue decreased to ₹361.00 crore from ₹413.00 crore, marking a 12.59% year-over-year decline.

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*this image is generated using AI for illustrative purposes only.

E2E Networks , a cloud infrastructure service provider, has reported a significant downturn in its financial performance for the first quarter, marking a shift from profit to loss year-over-year.

Financial Highlights

Metric Q1 Result
Net Loss ₹28.00 crore
Revenue ₹361.00 crore
Previous Year Revenue ₹413.00 crore
Year-over-Year Change From ₹101.00 crore profit to ₹28.00 crore loss

Detailed Analysis

E2E Networks, known for its cloud computing and data center services, has experienced a challenging first quarter, as reflected in its latest financial results. The company reported a net loss of ₹28.00 crore, a stark contrast to the ₹101.00 crore profit it posted in the corresponding quarter of the previous year.

The top-line performance also showed signs of strain, with revenue declining to ₹361.00 crore from ₹413.00 crore in the same period last year. This represents a year-over-year decrease of approximately 12.59% in revenue.

Market Implications

The shift from a substantial profit to a significant loss, coupled with the decline in revenue, indicates that E2E Networks is facing headwinds in its operating environment. This downturn could be attributed to various factors, which may include:

  • Increased competition in the cloud services sector
  • Potential pricing pressures affecting margins
  • Possible increase in operational costs
  • Changes in customer demand or market conditions

Looking Ahead

As E2E Networks navigates through these challenging times, investors and market analysts will be keenly watching the company's strategies to return to profitability and reverse the revenue decline. The management's commentary on the factors behind this performance and their plans to address these challenges will be crucial for understanding the company's future outlook.

Stakeholders will likely be looking for insights into:

  • Cost management initiatives
  • Strategies to boost revenue growth
  • Potential market expansion plans
  • Investments in technology or infrastructure to enhance competitiveness

The coming quarters will be critical for E2E Networks as it works to improve its financial health and regain its footing in the competitive cloud infrastructure market.

Historical Stock Returns for E2E Networks

1 Day5 Days1 Month6 Months1 Year5 Years
+5.86%-3.84%+4.67%+20.99%-2.66%+8,980.00%
E2E Networks
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