GPU Hosting, Dedicated Server with GPU, Dedicated GPU Server Rent

GPU Mart provides professional GPU Hosting for your high-performance computing projects! Our cutting-edge infrastructure supports 20+ models of GPU cards, giving you unparalleled power and speed for even the most complex applications. Whether you're developing deep learning algorithms or running simulations, our optimized servers offer lightning-fast processing times and reliable uptime. Plus, our expert support team is available 24/7 to help you with any technical challenges. Take your projects to the next level with our Dedicated GPU Server Hosting - order now!

Choose GPU Server Hosting Plans

When renting a dedicated server with GPU, users can choose from a series of specifications, including the type and quantity of GPU, memory and storage, and CPU processing capacity. The service fee will depend on the selected specification and lease term.
New Year Sale

Express GPU VPS - K620

16.8/m
Save 20% (Was $21.00)
1m3m12m24m
Order Now
  • 12GB RAM
  • 9 CPU Cores
  • 160GB SSD
  • 100Mbps Unmetered Bandwidth
  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro K620
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.863 TFLOPSreport
  • Discounts apply to the Quarterly billing and above!

Basic GPU VPS - P600

29.00/m
1m3m12m24m
Order Now
  • 16GB RAM
  • 12 CPU Cores
  • 200GB SSD
  • 200Mbps Unmetered Bandwidth
  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro P600
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPSreport

Lite GPU - K620

49.00/m
1m3m12m24m
Order Now
  • 16GB RAM
  • Quad-Core Xeon E3-1270v3report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro K620
  • Microarchitecture: Maxwell
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.863 TFLOPSreport

Express GPU - P620

59.00/m
1m3m12m24m
  • 32GB RAM
  • Eight-Core Xeon E5-2670report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro P620
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 512
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.5 TFLOPSreport

Express GPU - P1000

64.00/m
1m3m12m24m
Order Now
  • 32GB RAM
  • Eight-Core Xeon E5-2690report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro P1000
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 640
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 1.894 TFLOPSreport

Basic GPU - GTX 1650

99.00/m
1m3m12m24m
Order Now
  • 64GB RAM
  • Eight-Core Xeon E5-2667v3report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1650
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0 TFLOPSreport

Basic GPU - K80

109.00/m
1m3m12m24m
Order Now
  • 64GB RAM
  • Eight-Core Xeon E5-2690report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Tesla K80
  • Microarchitecture: Turing
  • Max GPUs: 2report
  • CUDA Cores: 4992
  • GPU Memory: 24GB GDDR5
  • FP32 Performance: 8.73 TFLOPSreport

Basic GPU - RTX 4060

149.00/m
1m3m12m24m
Order Now
  • 64GB RAM
  • Eight-Core E5-2690report
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForece RTX 4060
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2report
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPSreport

Advanced GPU - RTX 3060 Ti

179.00/m
1m3m12m24m
Order Now
  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPSreport

Enterprise GPU - A40

439.00/m
1m3m12m24m
Order Now
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia A40
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 37.48 TFLOPSreport

Advanced GPU - V100

229.00/m
1m3m12m24m
Order Now
  • 128GB RAM
  • Dual 12-Core E5-2690v3report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 1
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPSreport
New Arrival

Enterprise GPU - A100

639.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia A100
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPSreport

Enterprise GPU - RTX 4090

409.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 1
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPSreport
New Arrival

Multi-GPU - 3xRTX 3060 Ti

369.00/m
1m3m12m24m
Order Now
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 3 x GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 3report
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPSreport
New Arrival

Multi-GPU - 3xRTX A6000

899.00/m
1m3m12m24m
Order Now
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 3report
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPSreport
New Arrival

Multi-GPU - 4xA100

1899.00/m
1m3m12m24m
  • 512GB RAM
  • Dual 22-Core E5-2699v4report
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 4 x Nvidia A100 with NVLink
  • Microarchitecture: Ampere
  • Max GPUs: 4
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPSreport
New Arrival

Multi-GPU - 3xV100

469.00/m
1m3m12m24m
Order Now
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 3 x Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 3report
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPSreport
New Arrival

Multi-GPU - 2xRTX 4090

729.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2report
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPSreport
New Arrival

Multi-GPU - 8xV100

1499.00/m
1m3m12m24m
  • 512GB RAM
  • Dual 22-Core E5-2699v4report
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 8 x Nvidia Tesla V100
  • Microarchitecture: Volta
  • Max GPUs: 8report
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPSreport

Benefits of Using GPU Hosting and Dedicated GPU Server

GPU hosting can provide significant benefits for organizations and individuals that need access to high-performance computing resources. By renting access to GPU servers, you can save costs, access powerful computing resources, and scale up or down as needed, all while reducing the need for maintenance and management.
Cost Savings

Cost Savings

GPU hosting can provide significant cost savings compared to buying and maintaining physical hardware. With GPU hosting, you don't need to invest in expensive hardware, such as servers and graphics cards, or pay for the associated maintenance and upgrades. Instead, you can rent access to high-performance GPU servers on a pay-per-use basis, which can be much more cost-effective for many use cases.
Access to Computing Resources

Access to Computing Resources

GPU hosting provides access to high-performance computing resources that can handle complex computations and parallel processing tasks. This allows you to perform simulations, machine learning, and other tasks that would be difficult or impossible with a standard CPU. The high performance of GPU servers can lead to faster results and improved accuracy in a wide range of applications.
Scalability and Flexibility

Scalability and Flexibility

With GPU hosting, you can easily scale your computing resources up or down to meet changing needs. You can quickly add or remove GPU instances as needed, allowing you to handle spikes in demand or adjust to changing workloads. This provides a high degree of flexibility and agility, which can be especially valuable for businesses and organizations that need to adapt to changing circumstances.
Reduced Maintenance and Management

Reduced Maintenance and Management

With GPU hosting, you don't need to worry about maintaining and managing hardware and software on your own. The hosting provider takes care of the infrastructure and maintenance, including security updates, backups, and hardware repairs. This frees up your time and resources, allowing you to focus on your core business activities.

The Cheapest GPU Hosting Provider - GPU Mart

GPU Mart is committed to providing professional server hosting. At present, We have provided a variety of GPU dedicated hosting solutions for deep learning, AI, Android emulators, games, and video rendering. Chat with our experts at any time.
DDoS Protection
DDoS Protection
Resources among different users are fully isolated to ensure your data security. We also take necessary measures to protect the GPU dedicated servers against DDoS attacks from the edge fast while ensuring the performance of legitimate traffic is not compromised.
24/7/365 Tech Support
24/7/365 Tech Support
Our cheap GPU hosting server experts provide around-the-clock technical services with high quality through live chats and emails. Most issues can be well taken care of within one hour or less.
Cost-Effective GPU Hosting
Cost-Effective GPU Hosting
GPU Mart provides users with the most cost-effective solution for the configuration of host and GPU, with the performance bearing in mind. The hosted dedicated server has the characteristics of high parallelism, high throughput, and low delay.
99.9% Uptime Guarantee
99.9% Uptime Guarantee
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for our GPU dedicated servers and networks.
Easy to Start
Easy to Start
As we provide GPU dedicated servers, the steps for creating a GPU instance are the same as those for creating a dedicated server instance. If you need any help, our support will always be here with you to help, from installing software to troubleshooting issues.
USA Data Centers
USA Data Centers
Multiple data centers in the USA let you experience the ultimate speed experience. The locations are still expanding. Deploy your GPU dedicated server closer to you and your visitors.

Common Use Cases of GPU Dedicated Server Hosting

These are just six examples of many use cases hosted by GPU Mart. The versatility and powerful functions of GPU server hosting make it a valuable resource for a wide range of applications, especially those that need a lot of parallel processing capabilities.
Machine Learning and AI

Machine Learning and AI

GPU servers are commonly used to train and run machine learning models and deep learning algorithms. GPUs can handle the massively parallel computations involved in these applications, reducing training time and improving accuracy. GPU servers can be used in a variety of machine learning and artificial intelligence applications, such as image and speech recognition, natural language processing, and recommender systems.
Scientific Simulations

GPU Hosting for Scientific Simulations

Many scientific simulations, such as those used in weather forecasting, fluid dynamics, and materials science, require significant computing power. GPUs can speed up these simulations by processing the large amounts of data involved in parallel. GPU servers are also commonly used for simulation-based optimization and machine learning-based data analysis in scientific research.
Video Rendering and Transcoding

Video Rendering and Transcoding

Video rendering and transcoding involve processing large amounts of data to create high-quality video content. GPUs dedicated servers can speed up this process by parallelizing the video encoding and decoding process. This makes GPU servers ideal for video production, streaming, and editing applications.
Virtual Reality

Gaming and Virtual Reality

High-performance dedicated GPU servers are used to support online gaming and virtual reality applications that require massive processing power and high frame rates. This enables players to experience a more realistic and immersive gaming experience. Cloud gaming providers typically use GPU servers to deliver gaming services accessible from any device.
OBS Streaming

GPU Hosting for OBS Streaming

GPU dedicated Servers can provide significant advantages in streaming, such as improving performance, accelerating rendering, enabling customization, and allowing you to multitask. Especially when you use software such as OBS (Open Broadcast Software), the powerful GPU also allows you to perform multiple tasks at the same time when streaming.
Emulators

GPU Hosting for Android Emulators

GPU Dedicated Servers can be a great option for running Android emulators, especially if you're running multiple instances at once or need high-performance and customization options. By providing fast processing, improved performance, and the ability to customize your settings, a GPU Dedicated Server can help you to create a stable and efficient environment for your Android emulator.

How GPU Hosting Works?

GPU hosting provides a flexible and scalable way to access high-performance computing resources without purchasing and maintaining expensive hardware. By renting the access rights of the remote GPU server, you can perform complex calculations, run simulations, and accelerate machine learning, AI algorithms, and other applications.
step1

Select plan, Configure Instance

After selecting a plan, we will configure your server to meet your needs. This may involve selecting the amount of memory, storage, and processing capacity you need, as well as the operating system and software you want to use. A remote connection account will be sent to you by email.
step2

GPU Instance Trial or Pay

GPU Mart will charge you the usage fee of the GPU instance according to the time you use the GPU instance. You can usually choose to pay by month or year. The cost of GPU hosting is related to the resources and payment cycle you choose.
step3

Access Instance

After getting the GPU server, you can access it through a remote desktop connection, a command line interface, and other methods. Then, you can install and run the software, upload data, and perform calculations on the remote GPU server.
step4

Manage Instances

You will be responsible for managing the software and data on the GPU instance, as well as any security or maintenance tasks that may be required. GPU Mart will do its best to provide support and resources to help you manage your instance, but you usually need to be responsible for any customization or configuration you make.

Customer Voice about GPU Mart

At Database Mart, we are committed to providing quality products and services to achieve clients' satisfaction. Don't take our word for it. See what our customers have to say about the GPU dedicated server hosting and our support.

More Comments Go Herearrow_circle_right
avatar
Very nice guy patient and quickly solved the issue and explained me the reasons and gave advice.
starstarstarstarstar
avatar
I'm really happy with present assistance, The assistant was able to clarify and act positively after some issue not well undestood by my self.
starstarstarstarstar
avatar
Hiker new exactly what to do when i explained the problem i was having with my server. He's such a professional.**TwothumbsUp**
starstarstarstarstar
avatar
Leo is Excellent and Best customer Support. Thank You so Very Much.
starstarstarstarstar

FAQs of GPU Dedicated Server Hosting

Find answers to the most frequently asked questions about GPU dedicated server hosting.

What is hosting with GPU?

expand_more
GPU hosting is a hosting for servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance.

What is GPU Dedicated Server?

expand_more
A GPU dedicated server is a physical server dedicated to a user or organization and equipped with one or more GPUs (graphics processing units). These servers are usually used for high-performance computing tasks that require a lot of parallel processing capabilities, such as scientific simulation, machine learning, and video rendering.
Compared with CPU-based servers, GPU servers are usually much faster for tasks that can be processed in parallel across multiple cores. This is because GPUs have much more cores than CPUs, which makes them very suitable for decomposing into many small computing tasks that can be executed at the same time. GPU dedicated servers can be purchased or leased from various hosting providers. They differ in GPU type, GPU quantity, available memory and storage. These servers can be managed remotely, allowing users to access their computing resources from anywhere through Internet connections.

What is dedicated server with GPU Rental?

expand_more
A dedicated server with GPU rental is a service offered by hosting providers that allows users to rent a dedicated physical server equipped with one or more GPUs (graphics processing units) for a specified period of time. This service can be particularly useful for tasks that require high-performance computing resources, such as machine learningientific simulations, and video rendering.
Unlike virtualized GPU instances, dedicated servers with GPU rental offer users full access to the physical hardware, providing more control and customization options. Users can install their own software and configure the server to meet their specific requirements. Additionally, dedicated servers with GPU rental can offer more consistent performance and higher throughput compared to shared resources. When renting a dedicated server with GPU, users can typically choose from a range of specifications, including the type and number of GPUs, the amount of memory and storage, and the processing power of the CPU. The cost of the service will depend on the specifications selected and the duration of the rental.

How do I choose the right GPU instance for my needs?

expand_more
When choosing a GPU instance, you should consider factors such as the type and complexity of the applications you will be running, the amount of memory and storage you need, and the level of support and customization you require.

Can I use a GPU dedicated server for streaming or running Android emulators?

expand_more
Yes, a GPU dedicated server can be used for streaming and running Android emulators. By providing improved performance, faster processing, multi-tasking, and customization options, a GPU dedicated server can help you to create a stable and efficient environment for these applications.

What are some common GPUs used in hosting environments?

expand_more
Some common GPUs used in hosting environments include Nvidia GeForce, Quadro, Tesla, and RTX Server. The specific GPU you choose will depend on your needs and the applications you will be running.

Why put a GPU in a server?

expand_more
Putting a GPU in a server can significantly increase its computing power, making it capable of handling more complex and demanding tasks. GPUs, or graphics processing units, are highly specialized processors that are designed to handle parallel computing tasks, such as those required for machine learning, scientific simulations, and gaming.
Compared to traditional central processing units (CPUs), GPUs are more efficient at handling compute-intensive workloads because they can perform multiple calculations simultaneously. This is due to the fact that GPUs have many more cores than CPUs, which allows them to process data much faster and in parallel.
By adding a GPU to a server, you can accelerate compute-intensive applications and reduce processing times, leading to improved performance, reduced latency, and increased efficiency. This is particularly important for applications that require real-time processing, such as video rendering, transcoding, and streaming, or for tasks that involve large datasets, such as machine learning and data analytics.