India's Largest NSE Listed Cloud Provider

The World's First AI System Built on NVIDIA A100

NVIDIA A100 features the world's most advanced accelerator, the NVIDIA A100 Tensor Core GPU, enabling enterprises to consolidate training, inference, and analytics into a unified, easy-to-deploy AI infrastructure that includes direct access to NVIDIA AI experts.

Benefits of NVIDIA A100

  • NVIDIA AMPERE ARCHITECTURE

    A100 accelerates workloads big and small. Whether using MIG to partition an A100 GPU into smaller instances, or NVLink to connect multiple GPUs to accelerate large-scale workloads, A100 can readily handle differentsized acceleration needs, from the smallest job to the biggest multi-node workload. A100’s versatility means IT managers can maximize the utility of every GPU in their data center around the clock.

  • THIRD-GENERATION TENSOR CORES

    A100 delivers 312 teraFLOPS (TFLOPS) of deep learning performance. That’s 20X Tensor FLOPS for deep learning training and 20X Tensor TOPS for deep learning inference compared to NVIDIA Volta™ GPUs.

  • NEXT-GENERATION NVLINK

    NVIDIA NVLink in A100 delivers 2X higher throughput compared to the previous generation. When combined with NVIDIA NVSwitch™, up to 16 A100 GPUs can be interconnected at up to 600 gigabytes per second (GB/ sec) to unleash the highest application performance possible on a single server. NVLink is available in A100 SXM GPUs via HGX A100 server boards and in PCIe GPUs via an NVLink Bridge for up to 2 GPUs.

  • MULTI-INSTANCE GPU (MIG)

    An A100 GPU can be partitioned into as many as seven GPU instances, fully isolated at the hardware level with their own high-bandwidth memory, cache, and compute cores. MIG gives developers access to breakthrough acceleration for all their applications, and IT administrators can offer rightsized GPU acceleration for every job, optimizing utilization and expanding access to every user and application.

  • HBM2

    With 40 gigabytes (GB) of highbandwidth memory (HBM2), A100 delivers improved raw bandwidth of 1.6TB/sec, as well as higher dynamic random-access memory (DRAM) utilization efficiency at 95 percent. A100 delivers 1.7X higher memory bandwidth over the previous generation.

  • STRUCTURAL SPARSITY

    AI networks are big, having millions to billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros to make the models “sparse” without compromising accuracy. Tensor Cores in A100 can provide up to 2X higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.

Indian data-centers, hence low latency:

All the GPU servers of E2E networks run in Indian data centers, reducing latency.

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

Multiple Use-cases, One Solution!

E2E’s GPU Cloud

is suitable for a wide range of uses

  • AI/ML/DL

    Train complex models at high speed to improve predictions and decisions of your algorithms. Use any framework or library: TensorFlow, PyTorch, Caffe, MXNet, Auto-Keras, and many more.

  • Computer Vision

    Accelerate Convolutional Neural Networks based deep-learning workloads like video analysis, facial recognition, medical imaging and others

  • Computational Finance

    Analyze and calculate large and complex financial data; performtons of transactions in real-time. Do accurate financial forecasting, faster

  • Scientific Research

    Design and implement data-parallel algorithms that scale to hundreds of tightly coupled processing units: molecular modelling, fluid dynamics and others

  • Big Data:

    Deal with large-size data sets and continuously growing data, splitting it up between processors to crunch through voluminous data sets at a quicker rate

Trusted by 10,000+ Clients

Testimonials

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.

WATCH NOW:

About Us

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

FAQs

1, What's the graphics memory of Nvidia A100?

40 GB

2, What is MIG Feature in A100?

The multi-instance group (mig) feature allows each GPU to be partitioned into as many as seven GPU instances, fully isolated from a performance and fault isolation perspective

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! Today, E2E Networks is the largest NSE listed Cloud Provider having served more than 10,000 customers and having thousands of active customers.

E2E Networks is the platform of choice for Cloud Infrastructure used by Indian entrepreneurs since 2009.