GPU Cloud Server | Best GPU Based Cloud Server - Serverwala

GPU Cloud Server

Get top-notch parallel processing capabilities with our GPU Cloud Servers. With massive CPU core availability, you'll experience lightning-fast data transmission. Empower your business with the might of Serverwala's Cloud GPU Servers.

Get Security and Isolation Simultaneously with our Range of Cloud GPU Servers

At Serverwala, we provide an exceptional range of Nvidia GPU Cloud Servers that come with customizable configurations and lightning-fast network connectivity.

NVIDIA - H100 80 GB PCIe

The Hopper architecture-based NVIDIA GPU - H100 80 GB PCIe is helpful for data-intensive applications. The 80 GB high bandwidth memory is perfect for managing high-performance computing tasks. With NVIDIA - H100 80 GB, PCIe witnesses blazing-fast communication between multiple GPUs.

NVIDIA - L40S 48 GB PCIe

The NVIDIA L40S 48 GB PCIe server is a fantastically designed high-performance GPU. It is capable of managing premium rendering and simulations along with complex AI workloads. Now, machine learning tasks can be accelerated without a second doubt with NVIDIA's improved Tensor Cores.

NVIDIA - A100 80 GB PCIe

Uncover multi-instance GPUs to experience efficient resource management. The incredible partition approach provides better flexibility through independent GPUs. It is the most advanced tool used for parallel computing needs. From scientific computation to data analytics, NVIDIA—A100 allows smart completion of high-end tasks.

Cloud GPU Plans

Discover our cheapest GPU cloud server plans.

Linux
Windows
INR
USD
Plans
vCPU
RAM
Storage
GPU
GPU Memory
Bandwidth
Pricing
Setup
A100 One GPU 40 GB
16 vCPUs
115 GB
1500 GB SSD
A100
1 x 40 GB
10 TB @ 1Gbps shared

$1085

A100 Two GPU 40 GB
32 vCPUs
230 GB
3000 GB SSD
A100
2 x 40 GB
10 TB @ 1Gbps shared

$2168

A100 Four GPU 40 GB
64 vCPUs
460 GB
6000 GB SSD
A100
4 x 40 GB
10 TB @ 1Gbps shared

$4337

A100 One GPU 80 GB
16 vCPUs
115 GB
1500 GB SSD
A100
1 x 80 GB
10 TB @ 1Gbps shared

$1446

A100 Two GPU 80 GB
32 vCPUs
230 GB
3000 GB SSD
A100
2 x 80 GB
10 TB @ 1Gbps shared

$2892

A100 Four GPU 80 GB
64 vCPUs
460 GB
6000 GB SSD
A100
4 x 80 GB
10 TB @ 1Gbps shared

$5783

A10080 One GPU 80 GB
16 vCPUs
115 GB
250 GB SSD
A10080
1 x 80 GB
10 TB @ 1Gbps shared

$1446

A10080 Two GPU 80 GB
32 vCPUs
230 GB
250 GB SSD
A10080
2 x 80 GB
10 TB @ 1Gbps shared

$2892

A10080 Four GPU 80 GB
64 vCPUs
460 GB
250 GB SSD
A10080
4 x 80 GB
10 TB @ 1Gbps shared

$5783

A10080 One GPU 80 GB
32 vCPUs
225 GB
250 GB SSD
A10080
1 x 80 GB
10 TB @ 1Gbps shared

$1706

A10080 Four GPU 80 GB
128 vCPUs
900 GB
250 GB SSD
A10080
4 x 80 GB
10 TB @ 1Gbps shared

$6824

A40 One GPU 48 GB
16 vCPUs
100 GB
750 GB SSD
A40
1 x 48 GB
10 TB @ 1Gbps shared

$788

A40 Two GPU 48 GB
32 vCPUs
200 GB
1500 GB SSD
A40
2 x 48 GB
10 TB @ 1Gbps shared

$1576

A40 Four GPU 48 GB
64 vCPUs
400 GB
3000 GB SSD
A40
4 x 48 GB
10 TB @ 1Gbps shared

$3152

A30 One GPU 24 GB
16 vCPUs
90 GB
640 GB SSD
A30
1 x 24 GB
10 TB @ 1Gbps shared

$578

A30 Two GPU 24 GB
32 vCPUs
180 GB
1280 GB SSD
A30
2 x 24 GB
10 TB @ 1Gbps shared

$1157

A30 Four GPU 24 GB
64 vCPUs
360 GB
2560 GB SSD
A30
4 x 24 GB
10 TB @ 1Gbps shared

$2314

NVIDIA - L4 One GPU 24 GB
25 vCPUs
110 GB
250 GB SSD
NVIDIA - L4
1 x 24 GB
10 TB @ 1Gbps shared

$460

NVIDIA - L4 Two GPU 24 GB
50 vCPUs
220 GB
250 GB SSD
NVIDIA - L4
2 x 24 GB
10 TB @ 1Gbps shared

$918

NVIDIA - L4 Four GPU 24 GB
100 vCPUs
440 GB
250 GB SSD
NVIDIA - L4
4 x 24 GB
10 TB @ 1Gbps shared

$1836

NVIDIA - L4 Eight GPU 24 GB
200 vCPUs
880 GB
250 GB SSD
NVIDIA - L4
8 x 24 GB
10 TB @ 1Gbps shared

$3673

NVIDIA - H100 One GPU 80 GB
60 vCPUs
330 GB
3500 GB SSD
NVIDIA - H100
1 x 80 GB
10 TB @ 1Gbps shared

$2639

NVIDIA - H100 Two GPU 80 GB
120 vCPUs
660 GB
7000 GB SSD
NVIDIA - H100
2 x 80 GB
10 TB @ 1Gbps shared

$5278

NVIDIA - H100 Four GPU 80 GB
240 vCPUs
1320 GB
14000 GB SSD
NVIDIA - H100
4 x 80 GB
10 TB @ 1Gbps shared

$10554

NVIDIA - H100 Eight GPU 80 GB
200 vCPUs
1800 GB
21000 GB SSD
NVIDIA - H100
8 x 80 GB
10 TB @ 1Gbps shared

$28915

NVIDIA - L40S One GPU 48 GB
25 vCPUs
220 GB
250 GB NvME
NVIDIA - L40S
1 x 48 GB
10 TB @ 1Gbps shared

$1446

NVIDIA - L40S Two GPU 48 GB
50 vCPUs
440 GB
250 GB NvME
NVIDIA - L40S
2 x 48 GB
10 TB @ 1Gbps shared

$2892

NVIDIA - L40S Four GPU 48 GB
100 vCPUs
880 GB
250 GB NvME
NVIDIA - L40S
4 x 48 GB
10 TB @ 1Gbps shared

$5783

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A Glimpse of our Feature-Loaded Cloud GPU Servers

Unmatched Performance

Improve the performance of your business projects with top-notch server capabilities. Opt for our Nvidia GPU Cloud Servers if you work with intricate data sets that require high-quality media.

Swift Rendering

If you want to create videos quickly, you need a GPU that can speed up rendering time. Our GPU-based cloud server can do that, so you can expect great results from us.

Easily upscaling

Experience seamless technology upgrades with our top-tier scalability feature. You can easily enhance your server at any time and from anywhere.

Unique features of Cloud GPU Servers

Features of our GPU Cloud Servers

Computational Powers

Our servers are highly secure and fast to handle mathematical computations and scientific simulations to solve real-world problems.

Variety of GPU Models

A prominent feature of our GPU-based cloud servers is that we offer a wide variety of GPU models in terms of size, performance, and price.

User-Friendly Interface

We aim to render easy modification and control to our clients through user-friendly interfaces.

High-Speed Data Transfer

All our cloud server with GPU are equipped with optimized network routing to reduce data congestion on the server and facilitate high-speed data transfer.

High Performing GPUs

All our GPU cloud hosting plans are based on reputable brands like NVIDIA. Our servers have higher bandwidth to handle any level of workload.

Nvidia Powered GPUs

Discover ultimate speed and performance for your gaming, AI, and computing requirements. Experience premium GPUs powered by NVIDIA to upgrade your business eco-system.

Industries We Serve

Gaming and Entertainment

We can handle all your high-end graphics and offer you an excellent gaming session experience with our cloud GPU service.

Video Rendering

Our GPU cloud servers are capable enough to convert your raw footage into smooth and flawless video output. Our services are properly equipped to handle VFX, CGI, 3D modeling, and motion graphics.

Computer-Aided Engineering

Want to create engineering marvels with the help of computer-based simulations? We are here to assist with your complex simulations and scenarios.

Material Science

Material science Whether it is quantum mechanics or molecular dynamics, Our GPU cloud hosting is the best way to deal with material science. Moreover, we aid in smooth data analysis.

Medical Imaging

Do you have an abundance of files pertaining to MRI, CT Scan, X-Ray, and ultrasound? Allow our cloud based GPU servers to handle it all for you, ensuring they are readily available whenever you require them from any part of the world.

Artificial Intelligence

Teaching AI can be a task that requires a lot of resources. Our GPU based cloud server have ample storage and high performance to assist your AI in making intelligent decisions.

Why Choose Serverwala's GPU Cloud Server?

Serverwala's GPU cloud servers are the best in class when it comes to performance. You will experience a service like no other with top-notch client services and migration assistance. Serverwala is known to offer advanced computing power and easily molded server configuration.

Cost-Free Setup

Serverwala ensures easy, quick, and no-cost setup for its cloud GPU servers clients. Our clients save both time and resources with our no-cost setup.

Easy Customization

Increase or decrease computational power along with RAM and memory. Serverwala offers deep customization when it comes to the suitability of best cloud GPU provider.

Budget-Friendly

We facilitate the cheap GPU cloud server in the market, ensuring limited pressure on the client's budget. Our affordable plans make GPU servers more accessible.

Management Services

Our platform understands the value of business strategy, and thus, we offer management services too. Our managed services clients get ample time to focus on their business.

Expert Client Support

Hassle-free resolution of any server-related issue with our day and night expert client support. Serverwala stands firmly with its clients in emergencies.

Migration Aid

Have some shifting to do? Worry not; we at Serverwala will support you in migrating your workload to the GPU cloud server.

Available Operating Systems

centOS

Debian

Ubuntu

Windows

AlmaLINUX

cPanel

Plesk

Direct Admin

GPU Cloud Case Studies

Case Study: Enhancing Performance with Serverwala's Cloud GPU Servers

Enhancing Performance with Serverwala's Cloud
GPU Servers

Learn more

Accelerating Machine Learning Model Training with Serverwala's Cloud GPU Servers

Learn more

FAQ's

What do you mean by GPU cloud server?

Cloud GPU service falls into the category of cloud computing platform that works on graphic processing units or GPUs. The reason behind the usage of GPU is to facilitate power-packed performance in a cost-effective way.

Are GPUs part of cloud servers?

GPUs form an inseparable part of cloud servers. The need to include cloud server with GPU took shape due to the parallel processing power of GPUs. It is a well-known fact that Google Cloud GPUs provide a variety of GPUs, including NVIDIA K80, P4, V100, A100, T4, and P100.

Enlist the benefits of a GPU server.

Power-packed performance through parallel performance. Better virtualization through high-end 3D and 2D processing. Power-packed performance through parallel performance. Dedicated resources to individual clients resulting in enhancing security. Option to upscale and downscale as per the requirement of the business. Suitable for complex tasks related to machine learning and AI.

Explain the working of a GPU server.

GPU based cloud server consists of graphic cards, which enable them to render high-end visual information. The large bunch of cores helps the GPU in processing enormous data sets. The graphic processing unit's SIMD (Single Instruction, Multiple Data) architecture helps in achieving parallel processing, suitable for deep learning.

Differentiate between CPU and GPU servers?

There are two main types of computer architecture: CPU and GPU. They have different functions and handle tasks differently. CPUs complete a wide range of tasks quickly, as measured by their clock speed. However, they can only handle a limited number of tasks at the same time. GPUs, on the other hand, are designed to render high-quality images and videos quickly and simultaneously.

Explain GPU and how it is different from a CPU.

A Graphics Processing Unit (GPU) is a type of processor that can handle multiple tasks simultaneously. It is particularly useful for rendering graphics or doing machine learning calculations. In contrast, a Central Processing Unit (CPU) is a more general processor that can handle a wider range of tasks.

Is there a need for GPU in a public cloud environment?

It may interest you to know that GPUs possess the ability to expedite certain computing tasks such as machine learning, scientific simulations, and video rendering. Through the execution of complex calculations in parallel, GPUs are capable of significantly reducing processing time and costs when compared to conventional CPU-based computing.

Which type of application uses GPU-accelerated computing?

Using GPU-accelerated computing can be helpful for complex math, data processing, and image rendering. It's commonly used in machine learning, video rendering, and scientific simulations. However, using GPU instances in the public cloud also raises security concerns. You need to ensure that your applications are secure and that only authorized users can access the GPU instances.

How do I configure GPU instances in the public cloud?

If you're working with GPU instances in the public cloud, it's important to remember that the configuration and management process may differ depending on the provider and instance type. Most cloud providers offer management tools that make it easy to create, deploy, and monitor your GPU instances.

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