GPU Computing – Series G 

Leverage E2E Networks GPU instances for compute and graphics-intensive workload. Our GPU’s offer high performance and cost-effective means for compute and graphics-intensive processing power, helping you to fuel innovation. It is ideal for workloads such as machine learning, artificial intelligence, graphics rendering, video editing, remote visualization, high-performance computing and many other parallel workloads.

E2E Networks GPU instances are based on NVIDIA’s GeForce® GTX 1080 Ti-series graphics cards which are powered by Pascal™ microarchitecture to deliver breakthrough performance.

A high-performance parallel Computing Solution

  • Blazingly FastRun parallel compute jobs and Crunch through voluminous data sets at a quicker rate.
  • Cost EffectiveForget about expensive rates by Saving costs and Increasing productivity.
  • SSD Drives – SSD Disks to maximize rendering and computing performance ensuring high data availability.

Beneficial for Workloads

  • Graphic Design – Ideal for graphics designing, engineering applications, architects, non-linear editing, distance learning and 3D graphics.
  • Video RenderingConduct video transcoding from HD to Ultra-HD, live broadcasting, video conferencing, video signal processing, source film repair, etc.
  • ComputingExcellent for 3D rendering, animations, digital image processing, financial computing applications, and scientific computing.
  • Deep Learning – Highly suitable for image recognition applications, video content identification, business intelligence, machine learning and other applications.

Check our plans to get started

₹ 17,249** Per Month or
₹ 23.63* Per Hour
OS: Centos 7
Dedicated RAM: 30 GB
Disk Space: 450 GB SSD
GPU: 1 X NVIDIA GP102 [GeForce GTX 1080 Ti]
₹ 34,499** Per Month or
₹ 47.26* Per Hour
12 VCPUs
OS: Centos 7
Dedicated RAM: 62 GB
Disk Space: 900 GB SSD
GPU: 2 X NVIDIA GP102 [GeForce GTX 1080 Ti]

*  Price is exclusive of 18% GST Rate
**Monthly Prices shown are calculated using an assumed usage of 730 hours per month; actual monthly costs may vary based on a number of days in a month.

To get started check out our help article on E2E Networks GPU Instances