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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.

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.

  • Inexpensive

    Industry’s best price-performance ratio with affordable pricing.

  • Reliable Infra

    Build, train, and deploy mission-critical AI workloads with confidence.

  • Indian Datacenters

    State of the art facilities. Easy regulatory compliance. Ultra-low latency. Peace of mind.

  • Transparent Pricing

    No hidden/confusing billing parameters. Simple hourly/monthly plans.

  • Complete Freedom

    Use any framework or library: TensorFlow, PyTorch, Caffe, MXNet, Auto-Keras, and many more.

Our Prominent GPU Server Plans

Per Month
  • 12 vCPUs
  • OS: Ubuntu
  • Dedicated RAM: 60 GB
  • Disk Space: 900 GB SSD
  • Minimum Billing: ₹2000
Per Month
  • 12 vCPUs
  • OS: Ubuntu
  • Dedicated RAM: 60 GB
  • Disk Space: 900 GB SSD
  • NVIDIA Tesla V100
  • Minimum Billing: ₹4000
Per Month
  • 32 vCPUs
  • OS: Ubuntu
  • Dedicated RAM: 488 GB
  • Disk Space: 1800 GB SSD
  • NVIDIA Tesla 2x.V100
  • Minimum Billing: ₹8000

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.

Trusted by 10,000+ Clients

"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)


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.