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Reading: AI inventory jumps over 4% after deploying India’s largest NVIDIA H200 GPU infrastructure
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StockWaves > Financial News > AI inventory jumps over 4% after deploying India’s largest NVIDIA H200 GPU infrastructure
Financial News

AI inventory jumps over 4% after deploying India’s largest NVIDIA H200 GPU infrastructure

StockWaves By StockWaves Last updated: April 4, 2025 4 Min Read
AI inventory jumps over 4% after deploying India’s largest NVIDIA H200 GPU infrastructure
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Contents
Value MotionWhat’s the InformationAdditionally learn: Metal inventory jumps over 8% after reporting over 20% YoY gross sales quantity progress in This autumn FY25Monetary EfficiencyKey Monetary RatiosConcerning the FirmDisclaimer

Throughout Thursday’s buying and selling session, the shares of an NSE-listed AI-focused hyper-scale cloud platform, providing superior cloud GPUs, jumped almost 4.5 % on NSE, after the corporate introduced deploying India’s largest NVIDIA H200 GPU infrastructure in Delhi-NCR, Chennai.

AI inventory jumps over 4% after deploying India’s largest NVIDIA H200 GPU infrastructure

Value Motion

With a market capitalisation of Rs. 4,053.4 crores, the shares of E2E Networks Restricted closed within the inexperienced at Rs. 2,030, up by almost 1.2 %, as in opposition to its earlier closing value of Rs. 2,005.1. The inventory has delivered multibagger returns of over 113 % in a single yr, whereas about 8 % of optimistic returns in a single month.

What’s the Information

In response to the newest regulatory filings with the NSE, E2E Cloud, a number one AI-focused cloud supplier, has introduced the deployment of India’s largest NVIDIA H200 GPU infrastructure, marking a major development in AI computing capabilities.

With two state-of-the-art clusters strategically positioned in Delhi NCR and Chennai, every that includes 1,024 NVIDIA H200 GPUs, E2E Cloud is strengthening India’s place as a worldwide chief in AI innovation.

The NVIDIA H200 GPUs provide superior efficiency, making them extremely appropriate for coaching and fine-tuning large-scale AI fashions, together with DeepSeek and different superior language fashions. With a complete of 288.8 TB of GPU RAM and a couple of.4x increased reminiscence bandwidth (4.8 TB/s), these clusters present distinctive computational energy, guaranteeing environment friendly dealing with of memory-intensive workloads.

“E2E Cloud’s funding is India’s largest NVIDIA H200 GPU deployment underscores our dedication to constructing the nation’s most superior AI infrastructure,” commented Mr. Tarun Dua, Managing Director of E2E Cloud.

E2E Cloud is the corporate’s platform, offering a variety of cloud options constructed on battle-tested open supply applied sciences, designed to scale effectively and assist AI-driven functions.

Additionally learn: Metal inventory jumps over 8% after reporting over 20% YoY gross sales quantity progress in This autumn FY25

Monetary Efficiency

E2E Networks reported a major progress within the income from operations, experiencing an increase of almost 75 % YoY, rising from Rs. 24 crores in Q3 FY24 to Rs. 42 crores in Q3 FY25. Equally, throughout the identical interval, the corporate’s internet revenue elevated from Rs. 6 crores to Rs. 12 crores, representing a formidable rise of round one hundred pc YoY.

Inventory underneath ₹10 in focus after receiving ₹40 Cr orders from Titan, Malabar Gold, Senco Gold, & othersInventory underneath ₹10 in focus after receiving ₹40 Cr orders from Titan, Malabar Gold, Senco Gold, & others

Key Monetary Ratios

By way of key monetary metrics, E2E Networks has a Return on Fairness (RoE) of 36.4 % and a return on capital employed (RoCE) of 25 %. Moreover, the corporate’s debt-to-equity ratio stands at 0.37.

Concerning the Firm

Included in 2009, E2E Networks Restricted is an NSE-listed, MeitY empaneled AI-focused hyperscale cloud platform, engaged within the enterprise of providing Superior Cloud GPUs and a complete ecosystem of cloud applied sciences designed for the event and deployment of AI/ML/GenAI workloads on large-scale compute clusters.

Written by Shivani Singh

Disclaimer

The views and funding ideas expressed by funding specialists/broking homes/ranking businesses on tradebrains.in are their very own, and never that of the web site or its administration. Investing in equities poses a danger of monetary losses. Buyers should due to this fact train due warning whereas investing or buying and selling in shares. Dailyraven Applied sciences or the creator aren’t accountable for any losses triggered on account of the choice primarily based on this text. Please seek the advice of your funding advisor earlier than investing.

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