DGX A100 on E2E Cloud: Where cutting-edge technology meets affordability, enabling you to push the boundaries of AI and deep learning.

DGX A100 is a cutting-edge artificial intelligence (AI) supercomputer developed by NVIDIA. It offers exceptional performance and scalability for AI workloads, making it a highly sought-after solution in the field of deep learning and data analytics. The DGX A100 is built on the powerful NVIDIA A100 Tensor Core GPU architecture, which combines massive parallel processing capabilities with advanced tensor cores specifically designed for AI computations.

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The NVIDIA DGX A100 is a versatile AI system that excels in compute density, performance, and flexibility. It is the world's first 5 petaFLOPS AI system, powered by the NVIDIA A100 Tensor Core GPU. It allows businesses to streamline their AI operations by combining training, inference, and analytics into a single, easily deployable infrastructure. Additionally, users gain direct access to NVIDIA AI experts for support and guidance.

In terms of infrastructure, the DGX A100 is designed to be deployed in data centers or cloud environments. Its high-density form factor allows for efficient space utilization, making it an ideal solution for organizations with limited physical resources. Furthermore, the DGX A100 is equipped with advanced cooling mechanisms to handle intense computational demands, ensuring optimal performance and reliability.

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NVIDIA DGX A100 Datasheet

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Specs

DGX A100

40,960

CUDA Cores(Parallel-Processing)

5120

Tensor Cores (Machine & Deep Learning)

256 GB

GPU Memory

320 GB

GPU Memory Bandwidth

Form Factor

Peak FP64

9.7 TFLOPS

Transform your AI capabilities with DGX A100, the future-proof supercomputer designed to tackle the most complex challenges in deep learning and AI research

Here are some key features that make the DGX A100 stand out:

Unmatched Computing Power

The DGX A100 is equipped with eight NVIDIA A100 Tensor Core GPUs, providing a combined total of 320 GB GPU memory and 5 petaflops of AI performance. It delivers unprecedented computational power for deep learning and artificial intelligence workloads.

Accelerated AI Training

The system's advanced Tensor Core architecture enables rapid AI model training. With its 312 teraflops of mixed-precision performance, the DGX A100 significantly reduces training time, enabling faster iteration and development of AI models.

Versatile Deep Learning Framework Support

DGX A100 supports popular deep learning frameworks, including TensorFlow, PyTorch, and MXNet, making it flexible and compatible with various AI development environments.

High-Speed Interconnect

The DGX A100 incorporates NVLink technology, allowing efficient communication and data exchange between GPUs. This high-speed interconnect accelerates large-scale model training and enhances overall system performance.

Why Choose DGX A100?

The NVIDIA DGX A100 serves as a versatile platform capable of handling a wide range of AI workloads. Here are the USPs of DGX A100 to be considered it for:

Trusted by Industry Leaders

The DGX A100 is widely adopted and trusted by leading organizations across industries, including research institutions, healthcare providers, automotive companies, and more. Its reliability, performance, and comprehensive software stack make it a go-to choice for complex AI workloads.

Improved Total Cost of Ownership (TCO)

By leveraging the DGX A100's advanced AI capabilities, customers can achieve higher model throughput and reduced training times, resulting in improved productivity and lower TCO. E2E Cloud's flexible per-hour pricing model allows users to pay for the resources they need, optimizing cost efficiency.

Professional Support and Services

E2E Cloud provides dedicated support and services for the DGX A100, ensuring that customers receive timely assistance and guidance. This includes proactive monitoring, troubleshooting, and expert advice to help users make the most of their DGX A100 infrastructure.

Unifying Workloads for Enhanced Efficiency and ROI

In order to not just survive but thrive in challenging times, every business must embrace artificial intelligence (AI) as a transformative tool. However, traditional approaches to AI infrastructure have been hindered by slow compute architectures and fragmented workflows for analytics, training, and inference tasks.

This outdated approach has resulted in complexity, increased costs, limited scalability, and an inability to keep pace with modern AI advancements. To address these challenges, enterprises, developers, data scientists, and researchers require a new AI platform that integrates all AI workloads, streamlines infrastructure management, and accelerates return on investment (ROI).

Check out our NVIDIA A30 GPU cloud servers on E2E Cloud

Real world use cases of DGX A100: Training complex neural networks

NVIDIA DGX A100, the revolutionary GPU available on E2E Cloud's platform. DGX A100 is a powerhouse designed to meet the diverse needs of AI workloads, delivering unmatched compute density, performance, and versatility as the world's first 5 petaFLOPS AI system.

With the cutting-edge NVIDIA A100 Tensor Core GPU at its core, DGX A100 empowers businesses to streamline their AI operations by merging training, inference, and analytics into a seamlessly integrated AI infrastructure. What sets DGX A100 apart is its direct access to NVIDIA's team of AI experts, ensuring comprehensive support and guidance throughout the deployment process. Explore the real-world applications and witness the potential of DGX A100 today.

Unmatched Performance

The DGX A100 outperforms other GPU options with its unique architecture that combines 8 of the most advanced NVIDIA A100 GPUs. This powerful configuration delivers unparalleled computational performance and enables faster model training, inference, and data processing tasks.

Enhanced Memory Capacity

Unlike the A100 80GB, A40, and A30, the DGX A100 boasts a remarkable 320GB of GPU memory. This expanded memory capacity enables data scientists and developers to work with larger datasets, handle more complex models, and perform memory-intensive operations with ease.

Scalability and Flexibility

The DGX A100's multi-GPU architecture offers exceptional scalability and flexibility. It allows users to harness the power of multiple GPUs in parallel, enabling faster training times and improved productivity. The DGX A100 also supports popular deep learning frameworks and libraries, making it easy for data scientists and developers to integrate into their existing workflows.

Advanced AI Acceleration

The DGX A100 features NVIDIA's advanced Tensor Core technology, enabling accelerated AI computations and delivering breakthrough performance for deep learning workloads. This AI acceleration capability sets the DGX A100 apart from the other GPU options, making it the preferred choice for AI-driven projects that demand maximum speed and efficiency.

Comprehensive Software Stack

NVIDIA's DGX software stack provides a comprehensive set of tools, frameworks, and libraries optimized for the DGX A100. It includes popular deep learning frameworks like TensorFlow, PyTorch, and MXNet, along with GPU-optimized libraries and performance tools. This software ecosystem simplifies development, enables seamless integration, and maximizes the potential of the DGX A100.

Accelerate Machine Learning and Deep Learning Workloads with up to 70% cost-savings.

Benefits of E2E GPU Cloud

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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

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We are using NVIDIA certified hardware for GPU accelerated workloads.

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We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.

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.

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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).

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FAQs on NVIDIA DGX A100

What is NVIDIA DGX A100, and what are its key features?

NVIDIA DGX A100 is an advanced AI computing system designed to accelerate data center workloads. It features eight NVIDIA A100 Tensor Core GPUs, providing exceptional performance for deep learning, analytics, and scientific computing tasks.

What are the benefits of using NVIDIA DGX A100 on E2E Cloud?

By utilizing NVIDIA DGX A100 on E2E Cloud, you can experience industry-leading performance for your AI workloads. With flexible per-hour pricing, you can optimize costs based on your usage. E2E Cloud offers highly competitive rates, ensuring affordability while achieving top-tier performance.

Can I scale up my GPU resources with NVIDIA DGX A100 on E2E Cloud?

Yes, with NVIDIA DGX A100, you can easily scale up your GPU resources. E2E Cloud provides the flexibility to add or remove instances as per your requirements, allowing you to dynamically adjust your GPU capacity.

What software frameworks and libraries are supported on NVIDIA DGX A100?

NVIDIA DGX A100 supports a wide range of popular software frameworks and libraries used in AI and deep learning, including TensorFlow, PyTorch, Caffe, MXNet, and more. This ensures compatibility and enables you to leverage your preferred tools and frameworks.

Are data transfer speeds optimized on NVIDIA DGX A100?

Absolutely. NVIDIA DGX A100 incorporates high-speed networking capabilities, including InfiniBand and Ethernet, to facilitate fast data transfer between GPUs and external storage. This optimization minimizes latency and maximizes throughput for efficient data processing.

What is the storage capacity available with NVIDIA DGX A100 on E2E Cloud?

NVIDIA DGX A100 on E2E Cloud offers ample storage capacity for your data-intensive workloads. It supports a large storage capacity, allowing you to store and access your datasets seamlessly.

Can I use pre-trained models with NVIDIA DGX A100?

Yes, you can leverage pre-trained models with NVIDIA DGX A100. Its powerful GPU architecture and software compatibility enable you to utilize existing models and easily integrate them into your AI workflows.

How secure is NVIDIA DGX A100 on E2E Cloud?

E2E Cloud prioritizes security and implements robust measures to protect your data and workloads. NVIDIA DGX A100 utilizes enterprise-grade security features, including data encryption, access controls, and network security, ensuring the confidentiality and integrity of your AI projects.

Does NVIDIA DGX A100 support multi-node configurations?

Yes, NVIDIA DGX A100 supports multi-node configurations, allowing you to build distributed computing environments for parallel processing and large-scale AI training tasks. E2E Cloud provides the infrastructure and support to set up and manage these configurations effectively.

Can I get technical support for NVIDIA DGX A100 on E2E Cloud?

Yes, E2E Cloud offers comprehensive technical support for NVIDIA DGX A100. Our experienced team is available to assist you with any queries, issues, or optimization requirements, ensuring a smooth and productive experience with DGX A100 on our platform.

How is the monthly pricing calculated?

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.

Do you include Tax in the prices listed on the website?

No price is exclusive of any taxes, all plan pricing is subject to 18% GST rate.

Learn more about E2E Networks

E2E Networks Ltd is an India focused Cloud Computing Company and the first to bring contract-less cloud computing to the Indian startups and SMEs.

Co-founded by veterans Tarun Dua and Mohammed Imran, E2E Networks Cloud was used by many of the successfully scaled-up startups like Zomato/Cardekho/Healthkart/Junglee Games/1mg 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 and was oversubscribed 70 times!

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Will my billing stop if I switch off the server?

No. The billing will continue even if you switch off the server as we cannot provide the same server to any other customer. Only when the server is terminated/ deleted, the billing stops. Customers can attach the Block storage with E2E Cloud GPUs, save all the data in the Block storage, take the image and then terminate the Cloud GPUs. Next time whenever they need, a Cloud GPU server can be launched from the saved image and attached with the block storage.

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