Ashish Kacholia bought 1,77,043 shares: Multibagger AI-Company Accelerates Generative AI Revolution in India with NVIDIA H200 Tensor Core GPUs

Kiran Shroff
/ Categories: Trending, Multibaggers
Ashish Kacholia bought 1,77,043 shares: Multibagger AI-Company Accelerates Generative AI Revolution in India with NVIDIA H200 Tensor Core GPUs

The company has a market cap of over Rs 6,000 crore with an ROE of 37 per cent and an ROCE of 25 per cent.

E2E Networks Ltd, India’s leading NSE-listed, MeitY-empanelled cloud service provider, today announced that it is the first to bring NVIDIA H200 Tensor Core GPUs to the Indian market. E2E has a history of leading with largescale AI infrastructure solutions, and today, E2E Cloud is used by some of the most ambitious startups, SMEs and large businesses from India, the Middle East, the Asia Pacific, and the US.

Generative AI is poised to contribute up to USD 1.5 trillion to India's GDP by 2030 - and the introduction of NVIDIA H200 GPUs will enable businesses to scale up the training and inference of their generative AI applications, thereby accelerating the pace of the AI industrial revolution. E2E is strategically well placed to participate in INDIAai’s mission to support cutting-edge research and foster an ecosystem that democratizes computing access and develops indigenous AI capabilities while supporting the growth of the country's startup ecosystem.

The NVIDIA H200 GPU cluster, interconnected with NVIDIA Quantum-2 InfiniBand networking, is engineered to advance generative AI. It offers 4.8 TB/s of memory bandwidth and 141 GB of GPU memory capacity, and delivers up to 1.9X higher inference performance compared with NVIDIA H100 Tensor Core GPUs. Designed to meet the growing demand for real-time AI inference, complex simulations, and other high-compute tasks, it is the first GPU to use HBM3e memory, which is faster and larger than previous generations.

E2E Networks is scaling its cloud infrastructure with advanced H200 GPU-based cluster configurations. E2E Cloud's flagship product, TIR – an AI development studio – will be the first in India to feature H200 GPUs, giving developers seamless access to cutting-edge infrastructure. This breakthrough will allow developers to effortlessly train foundational AI models, helping transform the ease and efficiency of AI development in India. E2E Networks anticipates that the H200 GPU will become a powerful driver for AI training in India, specifically for the training and inference of large language models (LLMs) and large vision models (LVMs).

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About the Company

E2E Networks Ltd is an NSE-listed, MeitY-empanelled AI-focused cloud provider. The company offers advanced cloud GPUs such as HGX H100, A100, and L4OS, along with high-end InfiniBand-powered configurations like 64xH100 and 256xH100. E2E Cloud also features an advanced AI development platform, TIR, enabling developers to train and deploy foundational AI models. Serving nearly 3000 customers, E2E Cloud is recognized as one of the most highly rated cloud providers in India.

Earlier, the company successfully secured Rs 420.51 crore through a preferential issue of equity shares. This strategic investment underscores E2E Networks' commitment to advancing India’s AI/ML Cloud Platform and empowering enterprises, startups, and institutions. The funds will be used to accelerate the growth of E2E Networks’ AI-First Cloud Platform, enhancing its capability to support advanced machine learning and AI-driven applications. With this capital infusion, E2E Networks is poised to further solidify its position as the cloud platform of choice for India’s burgeoning tech ecosystem.

In the allotment, Promoters bought 63,112 shares and an ace investor, Ashish Kacholia bought 1,77,043.00 shares worth Rs 29,99,99,363.50.

The company has a market cap of over Rs 6,000 crore with an ROE of 37 per cent and an ROCE of 25 per cent. The stock gave multibagger returns of over 700 per cent from its 52-week low of Rs 455.25 per share and a whopping 12,000 per cent in 5 years. Investors should keep this AI stock under their watchlist.

Disclaimer: The article is for informational purposes only and not investment advice. 

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