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Our Prominent GPU Server Plans

GPU.T4
29,200
Per Month
40/hr
  • 12 vCPUs
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Dedicated RAM: 55 GB
  • Disk Space: 900 GB SSD
  • NVIDIA T4
  • Minimum Billing: ₹1000
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GPU-2x.T4
51,100
Per Month
70/hr
  • 12 vCPUs
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Dedicated RAM: 110 GB
  • Disk Space: 900 GB SSD
  • 2 x NVIDIA T4
  • Minimum Billing: ₹1000
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GPU-2x-B.T4
58,400
Per Month
80/hr
  • 32 vCPUs
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Dedicated RAM: 110 GB
  • Disk Space: 1800 GB SSD
  • 2 x NVIDIA T4
  • Minimum Billing: ₹1000
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GPU.V100
91,250
Per Month
125/hr
  • 12 vCPUs
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Dedicated RAM: 55 GB
  • Disk Space: 900 GB SSD
  • NVIDIA Tesla V100
  • Minimum Billing: ₹1000
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GPU-2x.V100
1,82,500
Per Month
250/hr
  • 32 vCPUs
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • Dedicated RAM: 488 GB
  • Disk Space: 1800 GB SSD
  • 2 x NVIDIA Tesla V100
  • Minimum Billing: ₹1000
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As Seen On

Why Should You Choose Tesla V100 & Nvidia T4 GPUs on E2E Cloud?

  • Bare Metal Performance

    Equipped with dedicated GPU cards via Passthrough mode.

  • Intel Xeon Machines

    GPUs run in tandem with industry-renowned Xeon processors.

  • Training & Inferencing

    Train your models with Tesla V100 and deploy them for inferencing using Nvidia T4.

  • Accelerate AI

    Run various machine learning & deep learning frameworks & libraries seamlessly and deliver fast.

  • Hourly Billing

    Pay per hour, no long-term contracts. Predictable billing based on INR. No last-minute surprises.

You can use Tesla V100 & Nvidia T4 GPUs for multiple use cases.
Here are some.

  • AI/ML/DL

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

  • Image recognition

    Extracting data from images to classify them, identify elements, or build fine-grained documents for industries like mobile software AI face lock, medical imaging, social networks

  • Financial

    Analyzes and Calculates large and complex data and perform tons of transactions in real-time.

  • Science research

    Design and implementation of data-parallel algorithms that scale to hundreds of tightly coupled processing units. Many molecular modelling applications are well suited to GPUs, due to their extensive computational requirements, and because they lend themselves to data-parallel implementations.

  • Big Data

    Dealing with large-size data sets and extreme amounts of continuously growing data, splitting it up between processors to crunch through voluminous data sets at a quicker rate.

GPU on E2E Cloud

E2E GPU Cloud makes it easy & affordable for you to build, train, and deploy machine learning and deep learning systems. Powered by Tesla V100 and Nvidia T4, E2E GPU instances offer bare-metal GPU performance. 

The GPU cards are dedicatedly available to the virtual machines. No GPU is shared with more than one machine, ensuring that your AI workloads run smooth & fast. Also, you‘re free to use any framework and library to build and train your models. 

Nvidia Tesla V100 instances can bring down your model training from months & weeks to days & hours, helping you to deliver fast without being expensive. 

Nvidia T4 instances are recommended for inferencing workloads for smooth real-time processing while keeping the costs low.

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.

"E2E GPU machines are superior in terms of performance and at the same time you end up saving more money compared to AWS and Azure. Not to mention the agility and skilled customer support that comes along."

Arvind SainiVP of Engineering at Crownit (GoldVIP)

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.