Listed on NSE emerge

NVIDIA® Tesla® V100 Tensor Core is the most advanced data center GPU ever built to accelerate AI, high performance computing (HPC), data science and graphics. It’s powered by NVIDIA Volta architecture, comes in 16 and 32GB configurations, and offers the performance of up to 100 CPUs in a single GPU. Data scientists, researchers, and engineers can now spend less time optimizing memory usage and more time designing the next AI breakthrough.

Learn more about NVIDIA A100

Specs

V100
CUDA Cores(Parallel-Processing)5120
Tensor Cores (Machine & Deep Learning)640
GPU Memory32 GB HBM2
GPU Memory Bandwidth900 GB/s
Form FactorPCIe

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 V100 GPU Dedicated Compute Longer Tenure = Lesser Cost
Choose The One That's Right For You

Choose Tenure

  • Upto 36% saving
  • Upto 34% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 36% saving
  • Upto 34% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 36% saving
  • Upto 34% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 36% saving
  • Upto 34% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 36% saving
  • Upto 34% saving
  • Upto 33% saving
  • Upto 32% saving
Plan OS Graphic Processor GPU Memory vCPU
( ≥ 2.8Ghz)
Dedicated RAM NVMe Disk Space Price
GDC.V100-8.120GB Ubuntu 16 / Ubuntu 18 / Centos 7 1X NVIDIA V100 1 x 32 GB 8 vCPUs 120 GB 900 GB SSD
73,000
(Billed hourly)
100/hr
50,000
(Billed Monthly)
68.4/hr
49,000
(Billed Quarterly)
67.1/hr
48,500
(Billed Half Yearly)
66.4/hr
47,000
(Billed Annually)
64.3/hr
Create
GDC.2xV100-16.240GB Ubuntu 16 / Ubuntu 18 / Centos 7 2X NVIDIA V100 2 x 32 GB 16 vCPUs 240 GB 1800 GB SSD
1,16,800
(Billed hourly)
160/hr
75,000
(Billed Monthly)
102.7/hr
73,500
(Billed Quarterly)
100.6/hr
72,750
(Billed Half Yearly)
99.6/hr
70,500
(Billed Annually)
96.5/hr
Create
GDC.4xV100-32.480GB Ubuntu 16 / Ubuntu 18 / Centos 7 4X NVIDIA V100 4 x 32 GB 32 vCPUs 480 GB 3600 GB SSD
2,92,000
(Billed hourly)
400/hr
1,80,000
(Billed Monthly)
246.5/hr
1,76,400
(Billed Quarterly)
241.6/hr
1,74,600
(Billed Half Yearly)
239.1/hr
1,69,200
(Billed Annually)
231.7/hr
Create

Windows V100 GPU Dedicated Compute Longer Tenure = Lesser Cost
Choose The One That's Right For You

Choose Tenure

  • Upto 35% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 31% saving
  • Upto 35% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 31% saving
  • Upto 35% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 31% saving
  • Upto 35% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 31% saving
  • Upto 35% saving
  • Upto 33% saving
  • Upto 32% saving
  • Upto 31% saving
Plan OS Graphic Processor GPU Memory vCPU
( ≥ 2.8Ghz)
Dedicated RAM NVMe Disk Space Licenses Bundle Price Minimum Billing
GDCW.V100-8.120GB Windows - 2016 / Windows -2019 1X NVIDIA V100 1 x 32 GB 8 vCPUs 120 GB 900 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
75,599
(Billed hourly)
104/hr
52,599
(Billed Monthly)
72/hr
51,599
(Billed Quarterly)
70.6/hr
51,099
(Billed Half Yearly)
69.9/hr
49,599
(Billed Annually)
67.9/hr
3000 Create
GDCW.V100-16.180GB Windows - 2016 / Windows -2019 1X NVIDIA V100 1 x 32 GB 16 vCPUs 180 GB 1800 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
91,647
(Billed hourly)
126/hr
64,047
(Billed Monthly)
87.7/hr
62,847
(Billed Quarterly)
86/hr
62,247
(Billed Half Yearly)
85.2/hr
60,447
(Billed Annually)
82.8/hr
3500 Create
GDCW.2xV100-16.240GB Windows - 2016 / Windows -2019 2X NVIDIA V100 2 x 32 GB 16 vCPUs 240 GB 1800 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
1,20,847
(Billed hourly)
166/hr
79,047
(Billed Monthly)
108.2/hr
77,547
(Billed Quarterly)
106.2/hr
76,797
(Billed Half Yearly)
105.2/hr
74,547
(Billed Annually)
102.1/hr
3500 Create
GDCW.2xV100-32.360GB Windows - 2016 / Windows -2019 2X NVIDIA V100 2 x 32 GB 32 vCPUs 360 GB 3600 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
1,52,943
(Billed hourly)
210/hr
96,943
(Billed Monthly)
132.7/hr
95,143
(Billed Quarterly)
130.3/hr
94,243
(Billed Half Yearly)
129.1/hr
91,543
(Billed Annually)
125.4/hr
7500 Create
GDCW.4xV100-32.480GB Windows - 2016 / Windows -2019 4x NVIDIA V100 4 x 32 GB 32 vCPUs 480 GB 3600 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
2,98,943
(Billed hourly)
410/hr
1,86,943
(Billed Monthly)
256/hr
1,83,343
(Billed Quarterly)
251.1/hr
1,81,543
(Billed Half Yearly)
248.6/hr
1,76,143
(Billed Annually)
241.2/hr
7500 Create
GDCW.4xV100-64.720GB Windows - 2016 / Windows -2019 4X NVIDIA V100 4 x 32 GB 64 vCPUs 720 GB 6000 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
3,77,735
(Billed hourly)
517/hr
2,52,735
(Billed Monthly)
346.2/hr
2,47,935
(Billed Quarterly)
339.6/hr
2,45,535
(Billed Half Yearly)
336.3/hr
2,38,335
(Billed Annually)
326.4/hr
13,500 Create

Hypervisor Backend Connectivity - 40Gbps over Fiber
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

  • 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

What's the graphics memory of Nvidia A100?

40 GB

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.