Deep64: Accelerate AI Innovation with Specialized GPU Cluster
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.
Read more about Deep64 here
Deep64 Data SheetProduct Enquiry Form
Product Features
The HBM3 memory subsystem provides nearly a two times bandwidth increase over the previous generation. The H100 GPU is the world’s first GPU with HBM3 memory delivering a class-leading 3 TB/sec of memory bandwidth.
Deep64 utilizes InfiniBand to facilitate seamless communication between servers and all 64 GPUs. This ensures efficient data flow and minimizes communication bottlenecks.
As your AI requirements evolve, Deep64 can seamlessly scale to accommodate future growth and even greater computational resources.
Deep64 has four NVIDIA NV Switch Systems that facilitate efficient GPU-to-GPU interconnect and collective communication, optimizing the performance and scalability of AI and HPC workloads.
Real-world Applications of Deep64
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:
Benefits of E2E GPU Cloud
Flexible Pricing
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
NVIDIA Certified Hardware
We are using NVIDIA certified hardware for GPU accelerated workloads.
No Hidden Fees
No hidden or additional charges. What you see on pricing charts is what you pay.
GPU-accelerated 1-click NGC Containers
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.
NVIDIA Certified Elite CSP Partner
We are NVIDIA Certified Elite Cloud Service provider partner. Build or launch pre-installed software Cloud GPUs to ease your work
Accelerate Machine Learning and Deep Learning Workloads with up to 70% cost-savings.
How E2E GPU Cloud is helping Cloud Quest in their gaming journey
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.
What Our Customers Say
For over a decade, we have delighted our customers with stellar infrastructure and support.
Press and Media Mentions
Listed on NSE. MeitY Empaneled. Loved by Press.
About Us
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).
Frequently Asked Questions (FAQs) on HGX H100 GB Cloud GPU
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.