CXOToday has engaged in an exclusive interview with Kesava Reddy, Chief Revenue Officer, E2E Networks.
What challenges does E2E Networks face as India’s first AI hyperscaler, and how does it overcome them?
E2E Networks, one of India’s foremost hyperscalers, recently emerged as a top 3 IaaS provider globally in the Spring 2024 G2 ratings. This achievement is particularly impressive considering the highly competitive space, with numerous international and Indian players.
The reason behind our stellar growth trajectory has been our razor-sharp focus on empowering India’s developers, startups, enterprises, universities, and government bodies with the most advanced cloud platform to build and deploy AI applications. Despite the challenges posed by competition, we have consistently stayed ahead on this front.
We pioneered the use of advanced cloud GPUs in the Indian market in 2019, foreseeing the burgeoning AI decade. We were also the first to launch InfiniBand-powered H100 cluster configurations like 64xH100 (Deep64), scalable up to 256xH100, offering extreme performance for training massive AI models.
Additionally, our AI platform TIR, launched in 2023, provides data scientists with a powerful foundation studio to easily build and launch AI models. This has significantly simplified the process of training AI models, allowing data scientists and researchers to focus on the actual task at hand rather than dealing with infrastructure.
As India takes the lead in the AI decade, we will continue to empower India’s data scientists, researchers, and developers by scaling the most cutting-edge, AI-first cloud platform built in India.
What are the key features of your Cloud GPU infrastructure that set you apart from competitors?
Training and building cutting-edge AI models require access to advanced GPUs. Without them, achieving this goal is nearly impossible. E2E Cloud offers the most advanced cloud GPUs and GPU clusters available in the Indian market today.
Our cloud GPU offerings encompass a wide range, including H100, A100, L40S models, and InfiniBand-powered cluster configurations like HGX 8xH100, 64xH100, and 256xH100. Additionally, E2E Cloud provides a comprehensive ecosystem of cloud technologies, including compute resources, DBaaS, object storage, CDN, block storage, containers, and more, empowering developers to build reliable applications.
E2E Networks also boasts a highly sophisticated web-based AI/ML development platform called Tir. Built around Jupyter Notebooks, Tir includes pre-configured environments for frameworks like PyTorch, TensorFlow, Stable Diffusion, Rapids, and Transformers. It also features an inference platform for deploying models directly on our platform. Envisioned as a one-stop solution, Tir caters to the entire training and inference lifecycle, along with the full capabilities of Jupyter Notebook to address all your AI/ML needs.
Tir’s feature set is specifically designed for the demands of the AI decade. Our ability to handle massive-scale AI workloads is what truly sets us apart from the competition.
How does E2E Networks collaborate with startups and enterprises to tailor solutions that meet their specific needs and challenges?
We strive to be the trusted partner for startups, enterprises, and institutions across India, assisting them in achieving their AI ambitions and driving innovation in this transformative technological landscape.
To achieve this goal, we employ a three-pronged approach: Educate, Engage, and Empower.. First, we continuously educate the community about the possibilities surrounding the most cutting-edge open-source AI models available today through trainings and workshops. Second, we engage with our partners through events like our monthly AI Day, where we actively discuss emerging approaches to AI and showcase stellar work accomplished by successful startups, and enterprises . Finally, we empower startups with credits up to 2L and enterprises with migrating their workloads to our platform. We guide them through the nuances of building AI applications and provide them with exceptional, 100% human support teams to help businesses build production platforms.
Our extensive experience in helping unicorns scale on our infrastructure positions us as the ideal partner for startups and enterprises seeking success in the AI era.
What are the specific industries or sectors that benefit the most from your offerings?
Healthcare, FinTech, retail, manufacturing, education, energy and utilities, government, and media and entertainment, are just a few of the many industries that our AI solutions touch.
Our powerful cloud platform, capable of handling even the most complex AI workloads, empowers a diverse range of users. Developers, data scientists, researchers, startups, enterprises, and universities leverage it to build and deploy cutting-edge AI applications.
The platform facilitates training and deployment of a wide variety of AI models, including large language models (LLMs) like Llama3, Mistral, or Falcon; image synthesis models like Stable Diffusion; video generation models like Stable Video Diffusion; and advanced AI architectures like Vector-RAG Pipelines.
This translates to a broad impact across industries undergoing AI transformation, from media and entertainment to fashion and Indic language LLMs. Our platform delivers the performance and capabilities these industries demand.
Furthermore, as an NSE-listed AI-First Hyperscaler, we are committed to upholding the Indian IT Act and ensuring complete compliance with all relevant Indian laws and regulations. Choosing our cloud platform offers businesses peace of mind regarding data sovereignty. They can be confident that their data is handled with the utmost care and in strict accordance with rigorous security and privacy protocols. This is particularly critical for sectors that work with sensitive data.
Can you highlight any innovative technologies or approaches that E2E Networks employs in its offerings?
To streamline the process of AI development and deployment, we introduced Tir, an advanced web-based AI/ML development studio. Tir eliminates infrastructure headaches for data scientists building AI models. It empowers them to build models with minimal coding, while still leveraging the power of E2E Cloud’s advanced cloud GPU infrastructure.
Beyond model training and inference, Tir seamlessly supports a wide range of frameworks. It also integrates with popular open models, vector stores, and other essential components of an AI application. This comprehensive functionality positions Tir as a one-stop solution for AI development, effectively removing roadblocks to AI innovation.