How E2E Networks Empower India’s AI Ambitions with Cutting-Edge Cloud Solutions
CXOToday has engaged in an exclusive interview with Mohammed Imran K R, CTO at E2E Networks Ltd – India’s fastest-growing accelerated cloud computing platform
- Could you provide an overview of E2E Networks and its mission in the tech industry?
E2E Networks is a NSE-Listed AI-First Hyperscaler, offering instant and scalable AI/ML and Cloud services, catering to the needs of developers, data scientists, startups, enterprises, higher education, research, and government bodies. We enable easy deployment, usage, and scaling of machine learning platforms, data science workflows, and various other applications.
We established in 2009, and since then we have emerged as the preferred Cloud Platform for numerous startups, helping them achieve significant growth and become unicorns.
We raised an initial round of funding from Blume Ventures, and eventually went public in 2018 with an IPO on NSE Emerge, which was oversubscribed by an impressive 70 times. We then listed on the NSE itself, having migrated from NSE Emerge in 2022.
Our focus is on creating the Cloud Platform that will empower India’s data scientists, developers, and enterprises to embrace the future of Generative AI and machine learning.
- E2E Networks is known for its cloud GPU platform. Can you explain how they benefit users?
Our GPU and Cloud Computing solutions offer a range of key features and benefits, including:
- Best price-performance ratio in the Indian market.
- A robust and proven open-source based platform used in production by our customers.
- 100% predictable pricing with prepaid billing for cost certainty.
- Utilization of cutting-edge GPUs and compute resources.
- A comprehensive ecosystem of cloud technologies, including GPU and CPU resources, DBaaS, Object Storage, CDN, Block Storage, Containers, and more, enabling developers to build reliable applications.
- Outstanding 100% ‘human’ support teams dedicated to assisting businesses in building production platforms.
- Vast experience in enabling the scaling of unicorns on our infrastructure.
- The transparency and stability that comes with our NSE Listing.
- A fully Swadeshi cloud, ensuring data sovereignty and providing businesses with peace of mind.
- How do E2E Networks support AI and machine learning workloads for businesses?
We are at the dawn of the AI and Machine Learning era, and that is increasingly evident in the remarkable adoption of AL/ML by businesses. ML technologies are rapidly becoming central to companies’ workflows and interfaces, necessitating robust cloud GPU infrastructure and efficient machine learning frameworks to support their workloads and model training.
As an AI-First Hyperscaler, we are proactively constructing the essential foundation, including infrastructure, technologies, and frameworks, that businesses require to thrive and excel in the AI era. We aim to empower businesses to effectively compete and succeed in this transformative age of artificial intelligence.
One of our advantages lie in making the latest generation of NVIDIA Cards like A100, A30 and A40s available along with the upcoming H100s. The availability of these cards along with the availability of a high throughput network and high IOPS storage result in reduced training and inference costs for our customers. Furthermore, our entire infrastructure stack is geared towards delivering massive performance for AI/ML workloads.
- Data security is crucial for cloud users. How does E2E Networks address security concerns?
We place a strong emphasis on ensuring the safety, security, and privacy of data, which is why we have obtained certifications such as PCI-DSS and ISO 27001. By adhering to these certifications, we not only meet but exceed the latest security standards and best practices. All our internet bandwidth is protected with Advanced DDoS protection solutions and our 24/7 security teams monitor and keep a close eye on our network to address any issues
In addition to providing our customers with direct and secure access to their infrastructure, we take further security measures by implementing security groups and ingress controllers. Our partnership with Bitninja allows us to offer anti-malware and customizable Web Application Firewall (WAF) support, further fortifying the security of our platform. To safeguard data during transfer, we encourage our customers to utilize encryption using SSL.
As a Swadeshi AI-First Hyperscaler, we are dedicated to strictly adhering to the mandates of the Indian IT Act and ensuring full compliance with all relevant laws and regulations in India. This means that our customers’ data is not at risk of being shared, intercepted, or seized by foreign governments.
Choosing our cloud platform provides businesses with peace of mind regarding data sovereignty, knowing that their data is handled with the utmost care and in accordance with stringent security and privacy measures.
- What can we expect from E2E Networks in terms of future offerings and developments?
As we enter the machine learning and AI era, our strategy as an AI-First Hyperscaler is to establish ourselves as the reliable and high-performance computing platform of choice for building, deploying, and scaling machine learning platforms and applications.
We aim to be the trusted partner for startups, enterprises, and institutions across the country, assisting them in realizing their AI ambitions and driving innovation in this transformative technological landscape.
Our key offerings would continue to focus on the availability of the latest technologies and hardware platforms including the upcoming NVIDIA H100s, along with further upgrades to Tir, our AI/ML platform.
- Are there any emerging technologies or trends that your platform is particularly excited about?
We have recently launched Tir, a web-based AI/ML development platform which is built around Jupyter Notebooks and contains pre-configured platforms like PyTorch, TensorFlow, Stable Diffusion, Rapids and Transformers, etc. Tir also includes an interference platform which allows for models to be served using our platform. The platform has been envisioned as a one-stop solution for training and inference needs along with the full features of the Jupyter Notebook to serve AI/ML needs of the customers.
In the field of generative AI, the ability to onboard a large number of businesses onto AI is where the biggest opportunity lies. The question is, how do we help data scientists build models at scale while being ethical in the process.
