Listed on NSE

NVIDIA A30 GPU Cloud server provide up to 10X higher performance over the NVIDIA T4 GPU Cloud server with zero code changes

Up To 3X higher throughput than V100 GPU for real-time conversational AI

With NVIDIA Ampere architecture Tensor Cores, it delivers speedups securely across diverse workloads, including AI inference at scale and high-performance computing (HPC) applications. By combining fast memory bandwidth and low-power consumption in a PCIe form factor—optimal for mainstream servers—A30 enables an elastic data center and delivers maximum value for enterprises.

Learn more about NVIDIA A30

Specs

A30
CUDA Cores(Parallel-Processing) 3584
GPU Memory 24GB HBM2
GPU Memory Bandwidth 933GB/s
Form Factor 2-slot, full height, full length (FHFL)

Benefits of E2E GPU Cloud

  • World-class GPU Infra

    No Hidden Fees

    No hidden or additional charges. What you see on pricing charts is what you pay.

  • World-class GPU Infra

    NVIDIA Certified CSP Partner

    We are NVIDIA Certified Cloud Service provider partner.

  • World-class GPU Infra

    NVIDIA Certified Hardware

    We are using NVIDIA certified hardware for GPU accelerated workloads.

  • World-class GPU Infra

    Flexible Pricing

    We are offering pay as you go model to long tenure plans.

  • World-class GPU Infra

    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.

Linux A30 GPU Dedicated Compute

Plan OS GPU Cards GPU Memory vCPU
( ≥ 2.9Ghz)
Dedicated RAM NVMe Disk Space Price
GDC.A30-16.90GB Ubuntu 16 / Ubuntu 18 / Centos 7 1x NVIDIA A30 1 x 24 GB 16 vCPUs 90 GB 640 GB SSD
65,700/mo
(Billed hourly)
90/hr
12,000
(Billed Weekly)
71.4/hr
40,000
(Billed Monthly)
90/hr
39,000
(Billed Quarterly)
90/hr
38,000
(Billed Half Yearly)
90/hr
36,000
(Billed Annually)
90/hr
Create
GDC.2xA30-32.180GB Ubuntu 16 / Ubuntu 18 / Centos 7 2x NVIDIA A30 2 x 24 GB 32 vCPUs 180 GB 1280 GB SSD
131,400/mo
(Billed hourly)
180/hr
24,000
(Billed Weekly)
142.8/hr
80,000
(Billed Monthly)
180/hr
78,000
(Billed Quarterly)
180/hr
76,000
(Billed Half Yearly)
180/hr
72,000
(Billed Annually)
180/hr
Create
GDC.4xA30-64.360GB Ubuntu 16 / Ubuntu 18 / Centos 7 4x NVIDIA A30 4 x 24 GB 64 vCPUs 360 GB 2560 GB SSD
262,800/mo
(Billed hourly)
360/hr
48,000
(Billed Weekly)
285.7/hr
160,000
(Billed Monthly)
360/hr
156,000
(Billed Quarterly)
360/hr
152,000
(Billed Half Yearly)
360/hr
144,000
(Billed Annually)
360/hr
Create

Windows A30 GPU Dedicated Compute

Plan GPU Cards GPU Memory vCPU
( ≥ 2.9Ghz)
Dedicated RAM NVMe Disk Space Licenses Bundle Price Minimum Billing

Note:

Hypervisor Backend Connectivity - 40Gbps over Fiber

Nvidia QvDWS is per user license, for more RDS licenses can contact our sales team for more detail (Sales@e2enetworks.com)

Additional licenses available on-demand, you can contact to our sales team (Sales@e2enetworks.com)

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

  • Natural Language Processing

    Conversational AI technologies are becoming ubiquitous, with countless products taking advantage of automatic speech recognition, natural language understanding, and speech synthesis coming to market.

  • 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

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

What's the graphics memory of Nvidia A30?

24 GB

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.

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.