Today, businesses are aggressively adopting AI/ML and cloud solutions to be at the forefront in the competitive market landscape. These new and emerging technologies play a pivotal role in today's digital scenario and provide numerous benefits to all companies. This has become increasingly vital for SMEs and startups as it helps them easily scale their operations while navigating the challenges. E2E Networks is one of the leading provider of such technologies companies enabling businesses to thrive swiftly. In order to understand more about the trend, latest technologies and their solution offerings, Rajeev Ranjan, Editor, Digital Terminal exclusively interacted with Tarun Dua, Managing Director, E2E Networks Ltd. He shared views on numerous topics and provided crucial insights about their business. Read below the complete conversation.
Rajeev: Can you provide an overview of E2E Networks Ltd and its core business offerings?
Tarun: E2E Networks Ltd is a NSE-listed (National Stock Exchange), Swadeshi AI-First Hyperscaler, and stands out as a future-focussed Cloud GPU and Cloud Computing provider, offering instant access to scalable, performant, and affordable AI/ML and Cloud services to developers, data scientists, startups, enterprises, higher education and research, and government bodies.
E2E Networks was incorporated in 2009, and received seed funding from Blume Ventures, eventually listing on NSE Emerge through an IPO in 2018 which was oversubscribed 70 times. We then migrated from NSE Emerge to the NSE in 2022.
We focus on delivering scalable and cutting-edge yet affordable AI/ML, Accelerated Computing and Cloud Computing technologies to data-driven businesses, individuals, researchers, and various government bodies. Over the years, numerous startups have leveraged our platform and ecosystem of supportive cloud technologies such as Cloud GPUs, Compute Infrastructure, Object Storage, Load Balancers, Containers, DBaaS, and Block Storage, and we have seen many of them scale to become successful unicorns.
Rajeev: How has E2E Networks Ltd leveraged emerging technologies such as artificial intelligence and cloud computing in its solutions?
Tarun: E2E Networks was one of the earliest Swadeshi cloud players to have recognized the tremendous potential of artificial intelligence and machine learning technologies, and was one of the first to launch a Cloud GPU platform in India.
With the era of AI and Machine Learning upon us, developers and businesses are increasingly looking to build, train and scale AI/ML-driven applications using technologies such as Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Speech-to-Text Engines and Automatic Speech Recognition (ASR), Translation technologies and Generative AI. E2E Network’s platform E2E Cloud provides them with instant access to a machine learning platform, powered by top GPUs, in a 100% predictable, on-demand, hourly billing model.
Recently, we launched Tir (which means ‘arrow’ in Hindi, and is also the god of written language and arts in Armenian mythology), a Data Science and Machine Learning platform on the cloud, that remarkably simplifies the life of a data scientist trying to build and launch machine learning models.
Rajeev: How does E2E Networks Ltd ensure the security and privacy of its clients' data and infrastructure?
Tarun: We put utmost priority to safety, security, and privacy of data, as evidenced by our certifications in PCI-DSS and ISO 27001. These certifications demonstrate our strong compliance with the latest security standards and best practices.
In addition to providing direct secure access to infrastructure, we implement robust security measures such as security groups, and collaborate with Bitninja, a trusted partner offering anti-malware and customizable Web Application Firewall (WAF) support.
Our platform facilitates and encourages the use of SSL encryption for data transfer, ensuring data remains protected. As a Swadeshi AI-First Hyperscaler, we strictly adhere to the regulations outlined in the Indian IT Act and fully comply with all laws and regulations in India.
This commitment eliminates any risks associated with data sharing, interception, or seizure by foreign governments. Therefore, when businesses choose to operate on our cloud platform, they can enjoy peace of mind regarding data sovereignty.
Rajeev: What business model do you follow? How do you sell your solution in the Indian market?
Tarun: We, at E2E Networks, provide distinctive advantages that set us apart from rivals. We are India’s exclusive Cloud provider offering prepaid and per-hour billing, with 100% predictable pricing model, that enables businesses to have complete control over their cloud infrastructure spend.
Our platform is built on battle-tested and dependable open-source technologies, which allows us to offer our products to our customers at a massive cost advantage over competition, and provide an incredible price-performance ratio in the Indian market.
Since our inception, we have taken the approach of staying laser-focussed on our customer’s use-cases, and building vertically deep solutions that solve their challenges. Through this approach, our team has gained firsthand experience in supporting the growth of highly successful companies on our computing infrastructure. Consequently, we have developed a robust ecosystem of technologies that cater to the unique demands of such companies.
Additionally, our team has a wealth of experience in facilitating the growth of successful companies and we provide top-notch help and support to our customers for our cloud platform. Our commitment to transparency and stability is reflected in our NSE listing, and our fully India-built Swadeshi cloud ensures data sovereignty and peace of mind for all our customers.
Rajeev: What is E2E Networks goal for the year 2024-2025.How do you wish to achieve it? According to you, how do you see the market going forward? Please elaborate.
Tarun: With the rate of adoption of AI/ML amongst businesses rapidly growing, analysts predict that machine learning will become an integral technology upon which workflows and interfaces will be built. For this, businesses would need highly performant cloud GPU infrastructure and machine learning frameworks that can help power their workloads and build/train machine learning models.
As an AI-First Hyperscaler, we are already growing the infrastructure, the technologies, and the frameworks needed for businesses to compete and succeed in the AI era. In the future, we see ourselves creating solutions that power large scale AI/ML workloads, and launch platforms that simplify a businesses’ AI journey.
