GPU Servers

A cost-optimized solution to run the high-performance computations.

Powerful GPU servers that are designed for High-Performance Computing and optimized for multiple parallel tasks.

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GPU Servers

Accelerate your workload with the power of dedicated servers & NVIDIA Tesla GPUs.

High Performance

Cost Effective

Cost Effective

99.99% Uptime

Secure

GPU Servers Hosting plans

GPU Processor RAM Storage Price
T4 (16 GB)
12vCPU
55GB
900 GB
Rs. 17500/Mo
Deploy
2 x T4 (2 x 16GB)
12vCPU
110GB
900 GB
Rs. 36000/Mo
Deploy
4 x T4 (2 x 16GB)
32vCPU
110GB
1800 GB
Rs. 40000/Mo
Deploy
Tesla V100 (32GB)
12vCPU
55GB
900 GB
Rs. 50000/Mo
Deploy
2 x Tesla V100 (2 x 32GB)
32vCPU
488GB
1800 GB
Rs 90000/Mo
Deploy
4 x Tesla V100 (4 x 32GB)
32vCPU
488GB
3800 GB
Rs. 180000/Mo
Deploy

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Why you need a GPU Server

Why you need a GPU Server?

GPU servers (Graphical Processing Units), as the name suggests, are servers packed with graphics cards, designed to harness the raw processing power. 

CPUs are built for the general purpose of computing. High-computing tasks such as Artificial Intelligence (AI), Machine Learning, Deep Learning, Big Data manipulation, 3D rendering, and even streaming, demands the power that can handle a tremendous amount of simultaneous instruction and run multiple parallel tasks.

The CPU alone cannot execute the high number of requests. For this, the GPU Server is an excellent option.

Performance

GPUs are designed for high-speed graphics. Their high-speed mathematical processing and their powerful architecture seamlessly manage the computing tasks that require high-performance machines.

Cost Effective

Improve the performance of the CPU server by adding the GPU server instead of additional expensive CPU servers. Also, the energy consumption of the GPU server is much less than the CPU server.

Uses of GPU Server

Large data transfer

Large Data

Data processing requires a powerful CPU, with fast-speed internet. However, GPU Servers are built for managing the high calculations for the large set of data.

A number of parallel tasks could be executed at much faster speeds with GPU Server. In Machine Learning and Data Science, the use of GPU to support the infrastructure is increasing, as it allows the data scientists to quickly train their model and get the desired prediction.

Using large data is an important aspect of every sector, and as the data is increasing, so is the use of GPU Servers.

Streaming

Thinking of online events, or streaming an event live to a large platform. GPU servers are the perfect solution for you.

It does not matter the scale of streaming, our GPU servers can support the number of simultaneous connections while delivering high-quality service.

Streaming
Rendering

Rendering

GPU and Dedicated Server is an ideal combination for post-processing videos, images or 3D models. Rendering each pixel on the screen could take time with a CPU, but when accompanied by the GPU servers, the image/video would parse quickly.

The whole process of rendering the scenes with a large number of elements can lag even the powerful servers, as they are not built for managing such tasks.

Our GPU servers would give the power to the machine to smooth the flow of working of parallel video streams, and execution of multiple components.

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Included with GPU Servers

Custom Configuration

Custom Configuration

Choose any GPU Servers. Your server is built with HPE enterprise parts, tested for full compatibility with your GPU choice.
Fast Network

Fast Network

Deploy your GPU dedicated server on a custom build, global network, designed for low latency and fast speed.
Support

Support

Help is just a click or call away. Get access to instant support from helpful humans, available around the clock.

Frequently Asked questions​

It is the most advanced GPU ever built to accelerate AI, high-performance computing and graphics. It has Volta architecture of NVIDIA, 16 and 32 GB configurations, and offers the performance of up to 100 CPUs in a single GPU. 

 

Adding 4 or 8 GPUs to a server is normal, but adding 16 GPUs in one Server is a complicated task, but possible. However, Tesla V100 is not the outdated server, it is  Tesla Nvidia V100, the best in the GPU Market.

If you want to add more than 8 GPUs, please contact our technical team. 

When you run heavy tasks on the CPU, it may lag down the whole system. By assigning the intensive tasks to the GPU, you let the CPU resource be free to have all-round consistent performance. 

The combination of CPU and GPU will share the load of the heavy computing effectively and it will lead to enhanced level of performance for both end-users and admins.

No.

But you can request your requirements, and our technical team will arrange it.

Virtualised GPU Servers do have their advantage, but it comes at the cost of reduced performance.

Our technical team is always ready to solve any problem you have.

You can reach us via e-mail or chat. Here is our contact page.

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