Dedicated GPU Server, Dedicated Server Nvidia GPU Rental

Dedicated GPU server is designed to provide high-speed computing and parallel processing capabilities for applications requiring massive computing power, making it an ideal choice for running deep learning models, artificial intelligence and big data analysis. GPU servers are usually deployed in data centers or cloud environments, and users or applications can access them remotely.

Choose Dedicated GPU Server Instance 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 longer the payment cycle, the cheaper the server.
  • GPU Card Classify :
  • GPU Server Price:
  • GPU Use Scenario:
  • GPU Card Model:

Lite GPU - GT710

45.00/mo
1m3m12m24m
Order Now
  • 16GB RAM
  • Quad-Core Xeon X3440report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT710
  • Microarchitecture: Kepler
  • Max GPUs: 1
  • CUDA Cores: 192
  • GPU Memory: 1GB DDR3
  • FP32 Performance: 0.336 TFLOPSreport

Lite GPU - GT730

49.00/mo
1m3m12m24m
Order Now
  • 16GB RAM
  • Quad-Core Xeon E3-1230report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT730
  • Microarchitecture: Kepler
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPSreport

Lite GPU - K620

49.00/mo
1m3m12m24m
  • 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 - P600

52.00/mo
1m3m12m24m
Order Now
  • 32GB RAM
  • Quad-Core Xeon E5-2643report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro P600
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPSreport

Express GPU - P620

59.00/mo
1m3m12m24m
Order Now
  • 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/mo
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/mo
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 - T1000

99.00/mo
1m3m12m24m
Order Now
  • 64GB RAM
  • Eight-Core Xeon E5-2690report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro T1000
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 896
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 2.5 TFLOPSreport
  • Good Choice for Android Emulators, Streaming, 3D Rendering .etc

Basic GPU - K80

109.00/mo
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 - GTX 1660

139.00/mo
1m3m12m24m
Order Now
  • 64GB RAM
  • Dual 10-Core Xeon E5-2660v2report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1660
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0 TFLOPSreport
Spring Sale

Basic GPU - RTX 4060

104.3/mo
Save 42% (Was $179.00)
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
  • Powerful for Gaming, Streaming, Video Editing, Emulators, Rendering.

    Cost-Effective Choice for AI, Deep Learning.

Professional GPU - RTX 2060

159.00/mo
1m3m12m24m
Order Now
  • 128GB RAM
  • Dual 10-Core E5-2660v2report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 2060
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 1920
  • Tensor Cores: 240
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 6.5 TFLOPSreport

Advanced GPU - RTX 3060 Ti

179.00/mo
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
Spring Sale

Advanced GPU - A4000

169/mo
Save 39% (Was $279.00)
1m3m12m24m
Order Now
  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A4000
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPSreport
  • Good Choice for 3D Rendering, Video Editing, AI/Deep Learning, Data Science, etc

Advanced GPU - V100

229.00/mo
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

Advanced GPU - A5000

269.00/mo
1m3m12m24m
Order Now
  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPSreport

Enterprise GPU - A40

439.00/mo
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

Enterprise GPU - RTX 4090

409.00/mo
1m3m12m24m
Order Now
  • 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

Enterprise GPU - RTX A6000

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

Enterprise GPU - A100

639.00/mo
1m3m12m24m
Order Now
  • 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

Multi-GPU - 2xRTX 4090

639.00/mo
1m3m12m24m
Order Now
  • 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 - 3xRTX 3060 Ti

369.00/mo
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 - 3xV100

469.00/mo
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 - 3xRTX A5000

539.00/mo
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 A5000
  • Microarchitecture: Ampere
  • Max GPUs: 3report
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPSreport
New Arrival

Multi-GPU - 3xRTX A6000

899.00/mo
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/mo
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 - 8xV100

1499.00/mo
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

Professional GPU - P100

159.00/mo
1m3m12m24m
Order Now
  • 128GB RAM
  • Dual 10-Core E5-2660v2report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Tesla P100
  • Microarchitecture: Pascal
  • Max GPUs: 2report
  • CUDA Cores: 3584
  • Tensor Cores: 640
  • GPU Memory: 16 GB HBM2
  • FP32 Performance: 9.5 TFLOPSreport
Addons for GPU Server
expand_more
Additional Memory16GB: $10.00/month
32GB: $18.00/month
64GB: $32.00/month
128GB: $56.00/month
256GB: $96.00/month
Additional SSD Drives240GB SSD: $9.00/month
960GB SSD: $19.00/month
2TB SSD: $29.00/month
4TB SSD: $39.00/month
Additional NVMe Drives960GB NVMe: $19.00/month
2TB NVMe: $29.00/month
4TB NVMe: $39.00/month
Additional SATA Drives2TB SATA: $19.00/month
4TB SATA: $29.00/month
8TB SATA: $39.00/month
16TB SATA (3.5’ Only): $49.00/month
Shared Hardware Firewall$29.00/monthShared firewall is used by 2-7 users who share a single Cisco ASA 5520 firewall, including shared bandwidth. It does not have superuser privileges.
Dedicated Hardware Firewall$99.00/monthDedicated firewall allocates one user to a Cisco ASA 5520/5525 firewall, providing superuser access for independent and personalized configurations, such as firewall rules and VPN settings.
Bandwidth UpgradeUpgrade to 200Mbps(Shared): $10.00/month
Upgrade to 1Gbps(Shared): $20.00/month
The bandwidth of your server represents the maximum available bandwidth. Real-time bandwidth usage depends on the current situation in the rack where your server is located and the shared bandwidth with other servers. The speed you experience may also be influenced by your local network and geographical distance from the server.
Remote Data Center Backup(Windows Only)40GB Disk Space: $30.00/month
80GB Disk Space: $60.00/month
120GB Disk Space: $90.00/month
160GB Disk Space: $120.00/month
We will use Backup For Workgroups to backup your server data (C: partition only) to our remote data center servers twice per week. You can restore the backup files in your server at any time by yourself.
Additional GPU CardsNvidia Tesla K80: $99.00/month
Nvidia RTX 2060: $99.00/month
Nvidia Tesla P100: $119.00/month
Nvidia RTX 3060 Ti: $149.00/month
Nvidia RTX 4060: $149.00/month
Nvidia RTX A4000: $159.00/month
Nvidia RTX A5000: $229.00/month
Additional Dedicated IP$2.00/month/IPv4 or IPv6IP purpose required. Maximum 16 per package.
HDMI Dummy$15 setup fee per serverA one-time setup fee is charged for each server and cannot be transferred to other servers.

4 Benefits of Dedicated Server with Nvidia GPU Rental

Compared with the traditional CPU server, GPU server rental can process larger data and more complex computing tasks in a shorter time due to its powerful parallel computing capability. Therefore, GPU servers are often used to train deep learning models, conduct scientific computing, and accelerate computing intensive applications. Renting GPU servers can help individuals or enterprises save a lot of time and resources, and also avoid the cost and trouble of purchasing and maintaining expensive hardware equipment.
Performance enhancement

Performance Enhancement

GPU (graphics processing unit) servers can handle high-intensity workloads such as machine learning, data analysis and graphics rendering. Leasing GPU servers allows you to take advantage of the enhanced performance of these dedicated machines, thus reducing processing time and achieving better results.
Customization

Customization

The GPU Mart provides a series of hardware configurations, enabling you to select the specific GPU, memory, storage and other components that best suit your needs. This level of customization enables you to optimize your computing resources for your specific workload.
Cost-effective

Cost-effective

Renting GPU servers may be a more cost-effective solution than purchasing your own hardware, especially if you only need to use computing resources in a limited time. In addition, renting GPU servers can avoid the costs associated with maintaining and upgrading hardware, because these responsibilities fall on the rental provider.
Scalability

Scalability

GPU Mart usually provides scalable options, enabling you to quickly and easily add or remove computing resources as workload requirements change. This means that you only need to pay for what you need when you need it.
GPU Dedicated Server Rental for Deep Learning

GPU Dedicated Server Rental for Deep Learning

In terms of deep learning, dedicated GPU servers are usually the best choice to achieve the best performance. The deep learning algorithm needs a lot of computing power, especially when training neural networks on large data sets. Dedicated GPU servers can provide the necessary capabilities to train these networks quickly and efficiently.

When selecting a dedicated GPU server for deep learning, multiple factors need to be considered. The most important factor is the GPU itself. NVIDIA GPU is the most popular choice for deep learning. Tesla V100 and updated A100 are currently one of the most powerful GPUs. These GPUs provide high internal storage bandwidth, low latency, and support advanced functions such as tensor core.

Dedicated Server with GPU Rental for Scientific Computing

Dedicated Server with GPU Rental for Scientific Computing

GPU server leasing may be the best choice for scientific computing applications. Many scientific computing applications require a lot of computing resources, and GPU servers can provide the necessary capabilities to perform these calculations quickly and efficiently.

When selecting GPU servers for scientific computing, the selection of GPU is particularly important. NVIDIA GPU is often used in scientific computing because of its high performance and support for advanced functions such as CUDA and Tensor kernel. NVIDIA Tesla V100 is a particularly popular choice for scientific computing because it provides high internal storage bandwidth, low latency and advanced tensor core functions.

Dedicated GPU Server Rental for Virtualization

Dedicated GPU Server Rental for Virtualization

The GPU dedicated server can be used for virtualization, allowing multiple virtual machines to share a physical GPU device to achieve more efficient utilization of GPU computing resources. In addition, the model and performance of GPU also need to be selected according to the needs of virtualization applications. Secondly, server configuration virtualization applications require a large amount of storage space and memory to support the needs of multiple virtualization applications. In addition, network is a key factor. Virtualization transmits a large amount of data. Therefore, high network connection is required to ensure simultaneous operation between virtual machines.

Please note that GPU virtualization requires special hardware and software support, and may require higher technical level and experience. When using a GPU dedicated server for virtualization, be sure to carefully understand the requirements of virtualization software and GPU drivers.

Dedicated Server with GPU Rental for Gaming

Dedicated Server with GPU Rental for Gaming

GPU dedicated servers can be used for game servers, especially for games requiring high-performance graphics processing. Generally speaking, the game server needs powerful CPU, fast memory and low latency network connection to ensure smooth game playing and fast data transmission between the server and the client. However, the need for a GPU depends on the specific game and its graphics requirements.

For some games, GPU is not absolutely necessary, especially for games that use simple graphics or are designed to run on low-end hardware. In these cases, a dedicated server with powerful CPU, fast memory and high-quality network connection may be sufficient. For other games, especially those with higher graphics requirements, GPU may be a valuable supplement to dedicated servers. In these cases, NVIDIA GPUs are usually the best choice because they provide high-performance graphics processing and support advanced functions such as CUDA and Tensor cores.

GPU Dedicated Server for Mining and Data Analysis

GPU Dedicated Server for Mining and Data Analysis

The GPU dedicated server can be the best choice for data mining and analysis tasks, especially for large data sets and compute-intensive algorithms. When selecting the GPU dedicated server for data mining and analysis, several important factors need to be considered.

First of all, GPU model is crucial for data mining and analysis tasks. NVIDIA GPU is popular in the field of data mining and analysis due to its high performance, CUDA support and extensive software ecosystem. In addition, NVIDIA Tesla series and other high-end GPUs provide more memory, kernel and advanced functions, which can significantly improve the performance of data mining and analysis tasks.

Dedicated Server with GPU Rental for Video Editing

Dedicated Server with GPU Rental for Video Editing

GPU dedicated servers are often used for video rendering tasks because of their high processing capacity and the ability to process large amounts of data. When selecting a GPU dedicated server for video rendering, several important factors need to be considered.

GPU model is very important for video rendering task. NVIDIA GPU is popular in the field of video rendering due to its high performance, CUDA support and extensive software ecosystem. In addition, high-end GPUs such as NVIDIA Quadro and Tesla series provide more memory, kernel and advanced functions, which can significantly improve video rendering performance.

How does GPU Dedicated Server Rental Work?

GPU dedicated server rental allows users to rent physical servers with dedicated GPU resources to meet their computing needs. It works like this:
Select a Server Plan
Select a Server Plan
You need to select a server plan that meets your needs in terms of GPU resources, processing capacity, storage and bandwidth. You can rent it monthly or annually. The hosting service provider will charge you according to the server plan and rental period you choose.
Access Your Server
Access Your Server
After getting the server, you will get the login credentials and the description of the remote access server. Then, you can install and run your software on the server and use its dedicated GPU resources to speed up your applications.
Configure Your Server
Configure Your Server
After accessing the server, you can customize the server configuration according to your specific requirements. This may include selecting the operating system, software, and other settings.
Manage Your Server
Manage Your Server
Although we are responsible for maintaining the physical hardware and infrastructure, you will be responsible for managing the software and applications running on the server. This may include installing updates, managing backups, and configuring security settings.

GPU Server Inquiry

Have queries about our GPU hosting services? Ask away! Our team of sales experts is ready to assist and reply to you shortly.
Email *
Name
Company
Get Personalized Advice on GPU Servers
Other Questions
I agree to be contacted as per Database Mart privacy policy.

FAQs of Dedicated GPU Server Hosting, Nvidia GPU Rental

What is GPU Dedicated Server?

expand_more
GPU (Graphics Processing Unit) dedicated servers are optimized to handle complex graphic-intensive tasks, such as rendering, games, machine learning, scientific simulation and data processing. It is a high-performance computing solution that utilizes one or more dedicated graphics processing units (GPUs) to speed up data processing.

Compared with CPU-only servers, GPU servers have many advantages, including faster processing speed, higher accuracy, shorter latency and the ability to process larger data sets. They are also more energy efficient, enabling organizations to save electricity bills. In general, GPU dedicated servers provide a powerful and scalable platform for high-performance computing applications.

What are the operating systems rented by GPU servers?

expand_more
The operating system rented by GPU server can choose common Linux distributions, such as Ubuntu, CentOS, Debian, etc., or other operating systems, such as Windows Server, depending on your needs.

What is RTX dedicated servers?

expand_more
RTX dedicated server is a server equipped with NVIDIA GeForce RTX graphics card, designed for advanced games, artificial intelligence and high-performance computing applications. These graphics cards are based on NVIDIA's Turing architecture, with advanced ray tracing function and real-time ray tracing function.
The RTX dedicated server is particularly suitable for applications that require real-time ray tracing or other advanced graphics capabilities. This includes games, video rendering, 3D modeling, and machine learning applications.

How to calculate the cost of GPU server rental?

expand_more
The cost of GPU server rental is usually calculated according to the usage time and the hardware resources such as GPU model, quantity, storage and bandwidth. Different service providers may have different billing methods and prices, and they can choose their own solutions according to their own needs.

How to select the best GPU server provider?

expand_more
The selection of GPU server service providers requires comprehensive consideration of the service provider's hardware resources, performance, price, technical support, reliability and other factors, as well as the user's needs and budget. The appropriate service provider can be selected by comparing the schemes and user evaluations of different service providers.

What is GPU Server Rental?

expand_more
GPU server leasing refers to renting a server with a graphics processor (GPU) provided by others or enterprises to perform high-performance computing tasks or run large-scale machine learning models.

What is GTX dedicated servers?

expand_more
GTX dedicated server is a server equipped with NVIDIA GeForce GTX graphics card, specially designed for games and high-performance computing applications. These powerful graphics cards can provide excellent performance for various tasks, including games, 3D modeling, video rendering and machine learning.
GTX dedicated server can be used for various applications, including game hosting, video streaming, virtual reality experience, etc. They are particularly suitable for tasks that require high-performance graphics, such as games or video rendering.

What are the security issues when renting GPU servers?

expand_more
The security issues of GPU server rental include network security and data security. Users need to ensure the security of the server's network environment to avoid risks such as network attacks and data leakage. In addition, users need to pay attention to the security and protection of sensitive data in the server to avoid unnecessary risks.

Among geforce, quadro, and tesla, which series is more suitable for renting gpu servers?

expand_more
In terms of GPU server leasing, the choice between GeForce, Quadro and Tesla graphics cards depends on the requirements of specific use cases and tasks at hand.
GeForce graphics cards are mainly designed for games and consumer applications, and are generally cheaper than professional graphics cards. They provide high-performance capabilities and are ideal for games, video rendering, and other high-performance computing applications.
On the other hand, Quadro graphics cards are specially designed for professional use and tailored to meet the needs of 3D modeling, animation and other high-end graphics applications. They provide advanced features, such as higher accuracy, greater memory bandwidth, and support for multiple displays.
Tesla graphics cards are designed for high-performance computing applications such as artificial intelligence, machine learning and scientific simulation. They provide advanced parallel computing capabilities and are optimized for data centers and supercomputing environments.
Finally, the selection of GeForce, Quadro and Tesla graphics cards for GPU server leasing depends on the specific needs and requirements of the task at hand. For example, if your application requires advanced 3D modeling or animation capabilities, the Quadro graphics card may be the best choice. If the application needs advanced parallel computing capabilities for scientific simulation or machine learning, Tesla graphics card may be the best choice. If the application needs high-performance computing for games or other consumer applications, GeForce graphics card may be the best choice.