Deep64 GPU Cluster: Accelerate AI Innovation with Specialized GPU Capabilities
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 node features up to 640 GB of GPU memory and 24 TB/s of aggregate memory bandwidth, delivering unmatched acceleration. Additionally, Deep64 leverages InfiniBand connectivity, ensuring seamless data flow between GPUs. This potent combination provides unparalleled computational power and efficient communication, empowering you to tackle even the most demanding AI projects with ease. Deep64 also offers remarkable scalability, allowing you to seamlessly grow your infrastructure as your AI workloads evolve, scaling up to 256 H100 GPUs without hardware bottlenecks. You can now rent Deep64, giving your team instant, on-demand access to world-class GPU infrastructure without upfront capital investment.
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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 GPU Cluster
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
No Hidden Fees
No hidden or additional charges. What you see on pricing charts is what you pay.
Flexible Pricing
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
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
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 Hardware
We are using NVIDIA certified hardware for GPU accelerated workloads.
What Our Customers Say
For over a decade, we have delighted our customers with stellar infrastructure and support.
Press and Media Mentions
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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 (FAQ)
Deep64 is a high-performance GPU cluster comprising 64 NVIDIA H100 GPUs, built on NVIDIA HGX H100 systems. It is designed for advanced AI model training, deep learning, and large-scale simulation workloads.
Deep64 is ideal for AI researchers, ML engineers, and enterprises working on foundation models, LLMs, generative AI, scientific research, and other compute-intensive tasks that demand high throughput and scalability.
Deep64 offers InfiniBand connectivity, full NVLink interconnects within each 8xH100 node, and massive 640 GB GPU memory per node, providing ultra-low latency and high-bandwidth communication between GPUs—essential for training massive models efficiently.
Yes, you can rent Deep64 on-demand, giving you flexible access to state-of-the-art infrastructure without the need for large upfront investment or long-term commitment.
Deep64 can be scaled from 64 up to 128 NVIDIA H100 GPUs, supporting growing compute needs for enterprise and research-grade AI workloads.
Deep64 is perfect for training LLMs, running multimodal AI models, scientific simulations, climate modeling, drug discovery, and any workload requiring exceptional compute and memory bandwidth.