India's Largest NSE Listed Cloud Provider

Benefits of E2E GPU Cloud

  • World-class GPU Infra

    World-class GPU Infra:

    E2E GPU Cloud is powered completely with NVIDIA T4 and Tesla V100 GPUs.

  • World-class GPU Infra

    Inexpensive:

    Accelerate workloads starting @ ₹15/hour for a GPU Instance with dedicated NVIDIA T4. Best-in-class price-to-performance ratio.

  • World-class GPU Infra

    Zero Lock-in:

    No long-term commitments/contracts required. Pay hourly as you go.

  • World-class GPU Infra

    No Hidden Fees:

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

  • World-class GPU Infra

    99.9% uptime:

    Uptime SLAs such that you worry less and do more

Indian data-centers, hence low latency:

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

Our Cloud GPU Plans

  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Graphic Processor
  • GPU Memory
  • vCPUs
  • Dedicated RAM
  • Disk Space
GPU.T4
30/hr
OR
21,900/mo
(Billed on Usage)
GPU.T4
30/hr
OR
17,500/mo
(Billed Monthly)
GPU.T4
22/hr
OR
16,275/mo
(Billed Quarterly)
GPU.T4
19/hr
OR
13,834/mo
(Billed Half Yearly)
GPU.T4
15/hr
OR
11,067/mo
(Billed Annually)
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • NVIDIA T4
  • GPU Memory: 16 GB
  • 12 vCPUs
  • Dedicated RAM: 55 GB
  • Disk Space: 900 GB SSD
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GPU-2x.T4
60/hr
OR
43,800/mo
(Billed on Usage)
GPU-2x.T4
60/hr
OR
36,000/mo
(Billed Monthly)
GPU-2x.T4
45/hr
OR
33,480/mo
(Billed Quarterly)
GPU-2x.T4
38/hr
OR
28,458/mo
(Billed Half Yearly)
GPU-2x.T4
31/hr
OR
22,766/mo
(Billed Annually)
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 2 x NVIDIA T4
  • GPU Memory: 32 GB GB
  • 12 vCPUs
  • Dedicated RAM: 110 GB
  • Disk Space: 900 GB SSD
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GPU-2x-B.T4
65/hr
OR
47,450/mo
(Billed on Usage)
GPU-2x-B.T4
65/hr
OR
40,000/mo
(Billed Monthly)
GPU-2x-B.T4
50/hr
OR
37,200/mo
(Billed Quarterly)
GPU-2x-B.T4
43/hr
OR
31,620/mo
(Billed Half Yearly)
GPU-2x-B.T4
34/hr
OR
25,296/mo
(Billed Annually)
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 2 x NVIDIA T4
  • GPU Memory: 32 GB
  • 32 vCPUs
  • Dedicated RAM: 110 GB
  • Disk Space: 1800 GB SSD
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  • OS: Windows
    - 2016
  • Graphic Processor
  • GPU Memory
  • vCPUs
  • Dedicated RAM
  • Disk Space
  • Minimum Billing
WGPU.T4
32.5/hr
OR
23,725/mo
(Billed on Usage)
WGPU.T4
26.5/hr
OR
19,325/mo
(Billed Monthly)
WGPU.T4
23.8/hr
OR
17,392/mo
(Billed Quarterly)
WGPU.T4
21.1/hr
OR
15,460/mo
(Billed Half Yearly)
WGPU.T4
18.5/hr
OR
13,527/mo
(Billed Annually)
  • OS: Windows - 2016
  • NVIDIA T4
  • GPU Memory: 16 GB
  • 12 vCPUs
  • Dedicated RAM: 50 GB
  • Disk Space: 900 GB SSD
  • Minimum Billing: ₹6000
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  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Graphic Processor
  • GPU Memory
  • vCPUs
  • Dedicated RAM
  • Disk Space
GPU.V100
100/hr
OR
73,000/mo
(Billed on Usage)
GPU.V100
100/hr
OR
50,000/mo
(Billed Monthly)
GPU.V100
63/hr
OR
46,500/mo
(Billed Quarterly)
GPU.V100
53/hr
OR
39,525/mo
(Billed Half Yealy)
GPU.V100
43/hr
OR
31,620/mo
(Billed Annually)
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • NVIDIA Tesla V100
  • GPU Memory: 32 GB
  • 12 vCPUs
  • Dedicated RAM: 55 GB
  • Disk Space: 900 GB SSD
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GPU-2x.V100
200/hr
OR
1,46,000/mo
(Billed on Usage)
GPU-2x.V100
200/hr
OR
90,000/mo
(Billed Monthly)
GPU-2x.V100
113/hr
OR
83,700/mo
(Billed Quarterly)
GPU-2x.V100
96/hr
OR
71,145/mo
(Billed Half Yearly)
GPU-2x.V100
77/hr
OR
56,916/mo
(Billed Annually)
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 2 x NVIDIA Tesla V100
  • GPU Memory: 64 GB
  • 32 vCPUs
  • Dedicated RAM: 488 GB
  • Disk Space: 1800 GB SSD
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GPU-4x.V100
400/hr
OR
2,92,000/mo
(Billed on Usage)
GPU-4x.V100
400/hr
OR
2,00,000/mo
(Billed Monthly)
GPU-4x.V100
229.3/hr
OR
1,67,400/mo
(Billed Quarterly)
GPU-4x.V100
195/hr
OR
1,42,290/mo
(Billed Half Yearly)
GPU-4x.V100
156/hr
OR
1,13,832/mo
(Billed Annually)
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 4 x NVIDIA Tesla V100
  • GPU Memory: 128 GB
  • 32 vCPUs
  • Dedicated RAM: 450 GB
  • Disk Space: 3500 GB SSD
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  • OS: Windows
    - 2016
  • Graphic Processor
  • GPU Memory
  • vCPUs
  • Dedicated RAM
  • Disk Space
  • Minimum Billing
WGPU.V100
102.5/hr
OR
74,825/mo
(Billed on Usage)
WGPU.V100
71.2/hr
OR
52,000/mo
(Billed Monthly)
WGPU.V100
64.1/hr
OR
46,800/mo
(Billed Quarterly)
WGPU.V100
56.9/hr
OR
41,600/mo
(Billed Half Yearly)
WGPU.V100
49.8/hr
OR
36,400/mo
(Billed Annually)
  • OS: Windows - 2016
  • NVIDIA Tesla V100
  • GPU Memory: 32 GB
  • 12 vCPUs
  • Dedicated RAM: 50 GB
  • Disk Space: 900 GB SSD
  • Minimum Billing: ₹6000
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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).

Documentation & Resources

  • Machine Learning- The Future for GPU’s

    Traditional AI models built using Rule-based systems depend on explicitly defined rules. Such AI systems deliver limited business value based on how well these rules are defined.

  • Everything You Need To Know About Tesla V100 GPUs On Cloud

    The advent of AI and ML have shaken up the whole technological space by virtue of the potential they hold for each and every industry.

  • Artificial Intelligence For All

    Power your High performance applications to run your research & development workloads.

FAQs

What is TESLA V100 GPU?

TESLA V100 is the most advanced datacenter GPU ever built. It has NVIDIA Volta architecture and comes with 640 Tensor Cores and 5,120 CUDA Cores. GPU.V100 instances are configured with TESLA V100 with 32 GB onboard graphics memory.

What is NVIDIA T4 GPU?

NVIDIA T4 GPU is based on NVIDIA Turing architecture. It can accelerate diverse workloads, including machine learning, deep learning, data analytics, and many more. GPU.T4 instances are configured with NVIDIA T4 with 16 GB onboard graphics memory.

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.