Deep64, a GPU Cluster of eight NVIDIA HGX H100 GPUs is designed to propel your deep learning and foundational model training to unprecedented heights. This dedicated cluster boasts a configuration of 64 NVIDIA H100 GPUs, built on Hopper Architecture and known for their exceptional processing power. Each 8xH100 GPU has up to 640 gigabytes (GB) of GPU memory and 24 terabytes per second (TB/s) of aggregate memory bandwidth for unprecedented acceleration. Additionally, Deep64 leverages InfiniBand connectivity, ensuring seamless flow between GPUs. This potent combination translates to unparalleled computational power and efficient communication, empowering you to tackle even the most demanding AI projects with ease. Furthermore, Deep64 boasts remarkable scalability, allowing you to seamlessly adapt to your evolving AI needs. As your projects demand more computational resources, Deep64 can effortlessly scale up to accommodate 256 H100 GPUs, guaranteeing your AI endeavors remain unhindered by hardware limitations.
While Deep64 excels at several things, here its applications extend beyond these core functionalities. Here are some specific use cases that showcase Deep64's versatility and potential:
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
We are using NVIDIA certified hardware for GPU accelerated workloads.
No hidden or additional charges. What you see on pricing charts is what you pay.
E2E Cloud GPUs have super simple one click support for NGC containers for deploying NVIDIA certified solutions for AI/ML/NLP/Computer Vision and Data Science workloads.
We are NVIDIA Certified Elite Cloud Service provider partner. Build or launch pre-installed software Cloud GPUs to ease your work
Latency is a critical part of Cloud Gaming. E2E GPU Cloud provided ultra-low network latency to Cloud Quest users and enhanced their gaming experience.
For over a decade, we have delighted our customers with stellar infrastructure and support.
E2E Networks Ltd is an India-focused Cloud Computing Company, pioneering the introduction of contract-less cloud computing for Indian startups and SMEs. The E2E Networks Cloud has been employed by numerous successfully scaled-up startups such as Zomato, Cardekho, Healthkart, Junglee Games, 1mg, and many others. It played a crucial role in facilitating their growth from the startup stage to achieving multi-million Daily Active Users (DAUs).
To get started with using the NVIDIA HGX H100 GPU server on E2E Cloud, simply create an account on MyAccount and select the HGX H100 server instance type. Once you have created an instance, you can begin deploying your workloads to the server.
E2E Cloud offers a variety of pricing options for the NVIDIA HGX H100 GPU server. You can pay by the hour, day, or month. We also offer discounted pricing for long-term commitments.
E2E Cloud offers cloud servers at very cost effective prices and our price-performance ratio remains unmatched. E2E provides an ideal environment for running AI/ML tasks. We also make it easy for you to launch your instances with a few basic steps.
Monthly prices shown are calculated using an assumed usage of 730 hours per month; actual monthly costs may vary based on the number of days in a month. Our price is exclusive of any taxes, all plan pricing is subject to 18% GST rate.
With effortless scalability, you have the freedom to adjust the number of GPU instances according to your workload demands. E2E Cloud's adaptable infrastructure guarantees access to resources that can handle sudden increases in demand during peak periods. This seamless and efficient scalability empowers you to effortlessly scale your machine learning tasks while ensuring optimal performance.
