Payal Arora's Contact Details

Payal Arora's Company Details

E2E Networks Limited

Delhi, Delhi, India • 51 - 200 Employees
Information Technology and Services

E2E Networks Limited is amongst India's fastest growing pureplay SSD Cloud players. E2E Networks is the 6th largest IAAS platform in India. E2E Networks High Performance cloud platform can be accessed via self service portal at https://myaccount.e2enetworks.com where you can provision/manage and monitor Linux/Windows/GPU Cloud Machines with high performance CPU, large memory(RAM) or Smart Dedicated Compute featuring dedicated CPU cores.We began in 2009 as a contractless computing player targeting the value-conscious segment of customers especially startups. Before there were hyperscalers in India we were the premier choice of many of today's soonicorns/Unicorns/well established businesses for Cloud Infrastructure.E2E Networks Cloud was used by many of successfully scaledup startups like Zomato/Cardekho/Cars24/Healthkart/Junglee Games/1mg/Team-BHP/Instant Pay/WishFin/Algolia/Intrcity(RailYatri)/Clovia/Groupon India (later crazeal/nearbuy), Jabong and Tapzo and many more to scale during a significant part of their journey from startup stage to multi-million DAUs ( Daily Active Users). In 2018, E2E Networks Ltd issued its IPO through NSE Emerge. Investors rushed and oversubscribed 70 times to the IPO, making it a huge success. Today, E2E Networks is the largest NSE listed Cloud Provider having served more than 10,000 customers and having thousands of active customersOur self‐service public cloud platform enables rapid deployment of compute workloads. We provide Cloud Solutions via control panel or API, this includes CDN,Load Balancers,Firewalls,VPC,DBaaS,Reserved IPv4,Object Storage, DNS/rDNS, Continuous Data Protection, One Click Installations and many more features. This results in lower project delivery costs by cutting down the delivery timelines. Our collaboration with NVIDIA allows us to play a significant role in helping our customers run their AI/ML training/inference, data science, NLP and computer vision workload pipelines.