India's Largest NSE Listed Cloud Provider

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

Benefits of NVIDIA V100

  • VOLTA ARCHITECTURE

    By pairing CUDA cores and Tensor Cores within a unified architecture, a single server with V100 GPUs can replace hundreds of commodity CPU servers for traditional HPC and deep learning

  • TENSOR CORE

    Equipped with 640 Tensor Cores, V100 delivers 130 teraFLOPS (TFLOPS) of deep learning performance. That’s 12X Tensor FLOPS for deep learning training, and 6X Tensor FLOPS for deep learning inference when compared to NVIDIA Pascal™ GPUs.

  • NEXT-GENERATION NVLINK

    NVIDIA NVLink in V100 delivers 2X higher throughput compared to the previous generation. Up to eight V100 accelerators can be interconnected at up to gigabytes per second (GB/sec) to unleash the highest application performance possible on a single server.

  • MAXIMUM EFFICIENCY MODE

    The new maximum efficiency mode allows data centers to achieve up to 40% higher compute capacity per rack within the existing power budget. In this mode, V100 runs at peak processing efficiency, providing up to 80% of the performance at half the power consumption.

  • HBM2

    With a combination of improved raw bandwidth of 900GB/s and higher DRAM utilization efficiency at 95%, V100 delivers 1.5X higher memory bandwidth over Pascal GPUs as measured on STREAM. V100 is now available in a 32GB configuration that doubles the memory of the standard 16GB offering.

  • PROGRAMMABILITY

    V100 is architected from the ground up to simplify programmability. Its new independent thread scheduling enables finer-grain synchronization and improves GPU utilization by sharing resources among small jobs.

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

Choose Tenure

  • Upto 18% saving
  • Upto 20% saving
  • Upto 21% saving
  • Upto 22% saving
  • Upto 20% saving
  • Upto 21% saving
  • Upto 22% saving
  • Upto 21% saving
  • Upto 22% saving
  • Upto 22% saving
Plan OS Graphic Processor GPU Memory vCPUs Dedicated RAM Disk Space Price Minimum Billing
GDC.V100-8.120GB Ubuntu 16 / Ubuntu 18 / Centos 7 1X NVIDIA V100 32 GB 8 vCPUs 120 GB 900 GB SSD
73,000
(Billed hourly)
100/hr
50,000
(Billed Monthly)
100/hr
49,000
(Billed Quarterly)
100/hr
48,500
(Billed Half Yearly)
100/hr
47,000
(Billed Annually)
100/hr
NA Create
GDC.V100-16.180GB Ubuntu 16 / Ubuntu 18 / Centos 7 1X NVIDIA V100 32 GB 16 vCPUs 180 GB 1800 GB SSD
87,600
(Billed hourly)
120/hr
60,000
(Billed Monthly)
120/hr
58,800
(Billed Quarterly)
120/hr
58,200
(Billed Half Yearly)
120/hr
56,400
(Billed Annually)
120/hr
NA Create
GDC.2xV100-16.240GB Ubuntu 16 / Ubuntu 18 / Centos 7 2X NVIDIA V100 64 GB 16 vCPUs 240 GB 1800 GB SSD
1,16,800
(Billed hourly)
160/hr
75,000
(Billed Monthly)
160/hr
73,500
(Billed Quarterly)
160/hr
72,750
(Billed Half Yearly)
160/hr
70,500
(Billed Annually)
160/hr
NA Create
GDC.2xV100-32.360GB Ubuntu 16 / Ubuntu 18 / Centos 7 2X NVIDIA V100 64 GB 32 vCPUs 360 GB 3600 GB SSD
1,46,000
(Billed hourly)
200/hr
90,000
(Billed Monthly)
200/hr
88,200
(Billed Quarterly)
200/hr
87,300
(Billed Half Yearly)
200/hr
84,600
(Billed Annually)
200/hr
NA Create
GDC.4xV100-32.480GB Ubuntu 16 / Ubuntu 18 / Centos 7 4X NVIDIA V100 128 GB 32 vCPUs 480 GB 3600 GB SSD
2,92,000
(Billed hourly)
400/hr
1,80,000
(Billed Monthly)
400/hr
1,76,400
(Billed Quarterly)
400/hr
1,74,600
(Billed Half Yearly)
400/hr
1,69,200
(Billed Annually)
400/hr
NA Create
GDC.4xV100-64.720GB Ubuntu 16 / Ubuntu 18 / Centos 7 4X NVIDIA V100 128 GB 64 vCPUs 720 GB 6000 GB SSD
3,65,000
(Billed hourly)
500/hr
2,40,000
(Billed Monthly)
500/hr
2,35,200
(Billed Quarterly)
500/hr
2,32,800
(Billed Half Yearly)
500/hr
2,25,600
(Billed Annually)
500/hr
NA Create

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

Choose Tenure

  • Upto 18% saving
  • Upto 20% saving
  • Upto 21% saving
  • Upto 22% saving
  • Upto 20% saving
  • Upto 21% saving
  • Upto 22% saving
  • Upto 21% saving
  • Upto 22% saving
  • Upto 22% saving
Plan OS Graphic Processor GPU Memory vCPUs Dedicated RAM Disk Space Price Minimum Billing
GDCW.V100-8.120GB Windows - 2016 / Windows -2019 1X NVIDIA V100 32 GB 8 vCPUs 120 GB 900 GB SSD
75,599
(Billed hourly)
104/hr
52,599
(Billed Monthly)
104/hr
51,599
(Billed Quarterly)
104/hr
51,099
(Billed Half Yearly)
104/hr
49,599
(Billed Annually)
104/hr
3000 Create
GDCW.V100-16.180GB Windows - 2016 / Windows -2019 1X NVIDIA V100 32 GB 16 vCPUs 180 GB 1800 GB SSD
91,647
(Billed hourly)
126/hr
64,047
(Billed Monthly)
126/hr
62,847
(Billed Quarterly)
126/hr
62,247
(Billed Half Yearly)
126/hr
60,447
(Billed Annually)
126/hr
3500 Create
GDCW.2xV100-16.240GB Windows - 2016 / Windows -2019 2X NVIDIA V100 64 GB 16 vCPUs 240 GB 1800 GB SSD
1,20,847
(Billed hourly)
166/hr
79,047
(Billed Monthly)
166/hr
77,547
(Billed Quarterly)
166/hr
76,797
(Billed Half Yearly)
166/hr
74,547
(Billed Annually)
166/hr
3500 Create
GDCW.2xV100-32.360GB Windows - 2016 / Windows -2019 2X NVIDIA V100 64 GB 32 vCPUs 360 GB 3600 GB SSD
1,52,943
(Billed hourly)
210/hr
96,943
(Billed Monthly)
210/hr
95,143
(Billed Quarterly)
210/hr
94,243
(Billed Half Yearly)
210/hr
91,543
(Billed Annually)
210/hr
7500 Create
GDCW.4xV100-32.480GB Windows - 2016 / Windows -2019 4x NVIDIA V100 128 GB 32 vCPUs 480 GB 3600 GB SSD
2,98,943
(Billed hourly)
410/hr
1,86,943
(Billed Monthly)
410/hr
1,83,343
(Billed Quarterly)
410/hr
1,81,543
(Billed Half Yearly)
410/hr
1,76,143
(Billed Annually)
410/hr
7500 Create
GDCW.4xV100-64.720GB 4X NVIDIA V100 128 GB 64 vCPUs 720 GB 6000 GB SSD
3,77,735
(Billed hourly)
517/hr
2,52,735
(Billed Monthly)
517/hr
2,47,935
(Billed Quarterly)
517/hr
2,45,535
(Billed Half Yearly)
517/hr
2,38,335
(Billed Annually)
517/hr
13,500 Create

Note: Nvidia QvDWS is per user license, for more RDS licenses can contact our sales team for more detail

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.

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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.