Hi-Performace GPU

Hi-Performance GPU

Instant Account Setup

Instant Account Setup

Zero Setup Fees

Zero Setup Fees

SSD based servers

SSD based servers

24/7 Support

GPUs are now becoming more and more important in the modern era. Conventional CPUs runs across a series of tasks and involves a lot of interactivities, GPU on the other hand breaks complex problems into millions of separate tasks and work on all of them altogether. Compared to the GPU, which can do thousands of processes simultaneously, the CPU can only manage a small number of them. The combination of parallel processing, faster performance, cost-effectiveness, and energy efficiency makes GPUs a more practical choice for many businesses, particularly for those in fields such as finance, scientific research, and AI.

GPU Cloud Servers

GPU- 32G
300 / Month
  • 1 x A5000 Nvidia GPU
  • 8 vCPU Cores
  • 32 GB RAM
  • 800 GB SSD
  • 2 TB Bandwidth
CONFIGURE NOW
GPU- 64G
600 / Month
  • 2 x A5000 Nvidia GPU
  • 16 vCPU Cores
  • 64 GB RAM
  • 1.6 TB SSD
  • 4 TB Bandwidth
CONFIGURE NOW
GPU- 96G
800 / Month
  • 3 x A5000 Nvidia GPU
  • 24 vCPU Cores
  • 96 GB RAM
  • 2.4 TB SSD
  • 6 TB Bandwidth
CONFIGURE NOW
GPU- 128G
1000 / Month
  • 4 x A5000 Nvidia GPU
  • 32 vCPU Cores
  • 128 GB RAM
  • 3.2 TB SSD
  • 8 TB Bandwidth
CONFIGURE NOW

GPU servers are suitable for a wide range of Industries

artificial Intelligence | leapswitch Networks

AI (Artificial Intelligence)

GPU servers are used in AI to provide more computing power and speed for deep learning and other intensive tasks. Companies often use GPU cloud computing to support and scale their AI workflows.

Machine Learning | Leapswitch Networks

Machine Learning

Leapswitch's GPU Cloud hosting is ideal for Big Data and machine learning applications, with the ability to quickly solve challenging computational problems with parallel-running queries and algorithms.

automobile | Leapswitch Networks

Automobiles

GPU servers are used in the automobile industry for CAD and simulation, autonomous driving, virtual testing and validation, and image and video processing, helping to reduce costs and improve efficiency, accuracy, and product development.

Healthcare img | Leapswitch Networks

Healthcare sector

GPU servers are used in the healthcare sector to process medical imaging data, analyze genetic and patient data, and support telemedicine applications, improving efficiency, reducing costs, and providing better care to patients.

Infrastrucutre | Leapswitch Networks

Virtual infrastructure-based applications

GPU Servers provide improved performance, scalability, and security for VDI (Virtual Desktop Interface) applications, such as video editing and 3D modeling.

GPU plan Features

AMD EPYC Server

Our GPU Server uses AMD EPYC Processors. AMD EPYC servers provide a powerful and versatile computing platform for enterprise-level applications, with high performance, scalability, and advanced security features.

Full Control

Get full root administrative access to your GPU servers! Change the programme settings, add or remove applications, control the accessible ports, and so much more.

99.95% Uptime SLA

Due to the highly redundant infrastructure, increased network connectivity, and enterprise-grade hardware, our GPU servers provide the best uptime of 99.95%. Our Tier-4 and ISO-certified data centres are highly secure, furnished and well-equipped with top-tier hardware.

Both Linux and Windows operating systems!

Both Linux and Windows operating systems are available for your use. Simply pick your preferred operating system, and it will be installed for you!

Up to 1 Gbps Network Speed

We make an effort to give you the best!
Our cutting-edge network is configured for lightning-fast loading times. You can host
websites and apps with no performance problems with a data transfer speed of 1Gbps.
Visitors can even enjoy some excellent surfing there.

Looking for a different GPU? Please fill out this form

GPU Comparisons with competitors

GPU Name NVIDIA A5000 Offered by Leapswitch NVIDIA P4 Offered by Google NVIDIA T4 Offered by Google NVIDIA T4 Offered by AWS NVIDIA A10G Offered by AWS RTX6000 Offered by Linode
GPU Memory 24GB GDDR6 8GB GDDR5 16 GB GDDR6 16 GB GDDR6 24GB GDDR6 24 GB GDDR6
Shading Units 8192 2560 2560 2560 9216 4608
Base Clock Speed 1170 MHz 886 MHz 585 MHz 585 MHz 1320 MHz 1440 MHz
Tensor Cores 256 - 320 320 288 576
ROPS 96 64 64 64 96 96
vCPU 8 At an additional price At an additional price 8 8 8
Server RAM (Memory) 32 GB At an Additional Price At an Additional Price 32 GB 32 GB 32 GB
Storage 800 GB SSD At an additional price At an additional price 225GB NVMe SSD 450 GB SSD 640 GB
Starts from - $300.00 USD/Month Or Rs.20000/Month $306.00 USD/Month + vCPU and Storage cost $178.00 USD/Month + vCPU and Storage cost $548.00 USD/Month $884.76 USD/Month $1000.00 USD/Month

All plans include

Root/Administrative Access
IPv4/IPv6
SSD Storage
Easy Scaling
No Setup Fee
Secure & Reliable Service
Robust & Consistent Performance
Unbeatable Pricing
24/7 Support via Live Chat, Phone and helpdesk

FREQUENTLY ASKED QUESTIONS

What do you mean by a GPU server?

A GPU server is basically a type of computing server that has a GPU card that provides fast, flexible computing and a highly stable environment. It’s basically used in different scenarios like Artificial Intelligence, Machine Learning, deep learning, decoding, scientific computing, etc.

What is the main difference between GPU and CPU?

In the world of supercomputers, GPU is really popular, yet it utilizes the conventional concept of parallel processing. The GPU breaks big tasks into small tasks and functions on them in one go, however, unlike the CPU, that appears to work on a sequence of tasks. CPU can handle fewer tasks at a time, while GPU can handle several concurrent tasks at a time. Thus, GPUs offer a higher level of latency than CPUs. It's the best option to host resource-intensive applications.

How GPU helps the CPU?

CPUs are not built to run lots of tasks at the same time. They focus on one task at a time and then assign the task in sequence on a priority basis. It runs several tasks simultaneously and will lag the CPU, and the performance will be low. By adding a GPU server, you can distribute the demanding tasks to the GPU, and the CPU resources will remain free. The combination effectively reduces the CPU workload, and the GPU can escalate the computing task much faster.

What are Tensor Cores?

NVIDIA Tensor Cores are specialized processing units available in NVIDIA GPUs. Tensor Cores accelerate matrix operations, which are the heart of AI workloads.

What Is GPU Computing?

It is general-purpose computing with the help of a Graphics Processing Unit (GPU). These calculations are done faster by using a GPU and a Central Processing Unit (CPU) together to speed them up. This is done for applications that are usually done by the CPU alone.

What operating systems does GPU hosting support?

Our GPU dedicated servers support both Linux and Windows operating systems. You can choose the operating systems according to your requirements and we will install them for you. Here is the list.

  • • Debian
  • • CentOS
  • • Ubuntu
  • • Fedora
  • • Windows 2019, 2022

What if I only need the server for a short period of time?
Our typical service plans and pricing is based on a monthly commitment. Should you need it longer, you can simply extend and renew your service.
Can we upgrade/downgrade configuration in the middle of the service tenure?
Yes, Leapswitch allows you to upgrade/downgrade easily as and when required.
Which processors do you offer?
We make use of AMD EPYC processors on our GPU-based servers. AMD EPYC processors offer enterprise-level computing with high performance, scalability, and advanced security.
What software is included?

Typically, we will deliver our systems with an OS of your choosing and that’s it. If needed you can purchase the paid add-on such as control panel etc.

When is a Dedicated GPU necessary?

The need for GPU dedicated servers is essential to run resources-intensive tasks like video editing, and quick access to high-definition images. Such tasks require graphic cards and a high amount of server resources. Hence, GPU is used over there.

Why should I go for the GPU cloud server hosting in India?

Our GPU Cloud hosting in India keeps the server close to the targeted location and user base. For instance, to target the Indian market, Leapswitch GPU Cloud server in India is an ideal go-to option.

Why choose Leapswitch's GPU Cloud Servers?

At Leapswitch, we offer the best GPU Cloud servers that are ideal for running your AI, ML, AR and deep learning, and applications that need more computing power. GPU cloud servers can perform concurrent tasks at the same time. We pride ourselves on the efficiency of the services we render. That's why we can confidently tell you that you would get value for what you pay for. Additionally, we have ISO-certified Tier4 data centres that result in massive performance with guaranteed 99.95% uptime for your heavy web applications. We are waiting for you to take a step with us TODAY!

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