Fastest And Best GPU SERVERS PROVIDER

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.

 

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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.
Prize Cards

Express GPU VPS - GT730

Features

  • 8GB RAM
  • 6 CPU Cores
  • 120GB SSD
  • 100Mbps Unmetered
  • Bandwidth

  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: GeForce GT730
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS

Price: $21.00/m


Express GPU VPS - K620

Features

  • 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: 0.692 TFLOPS

Price: $21.00/m


Basic GPU VPS - P600

Features

  • 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 TFLOPS

Price: $29.00/m


Lite GPU - GT710

Features

  • 16GB RAM
  • Quad-Core Xeon X3440
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT710
  • Microarchitecture: Kepler
  • Max GPUs: 1
  • CUDA Cores: 192
  • GPU Memory: 1GB DDR3
  • FP32 Performance: 0.336 TFLOPS

Price: $45.00/m


Lite GPU - GT730

Features

  • 16GB RAM
  • Quad-Core Xeon E3-1230
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT730
  • Microarchitecture: Kepler
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS

Price: $49.00/m


Lite GPU - K620

Features

  • 16GB RAM
  • Quad-Core Xeon E3-1270v3r
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro K620
  • Microarchitecture: Maxwell
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.863 TFLOPS

Price: $49.00/m


Express GPU - P600

Features

  • 32GB RAM
  • Quad-Core Xeon E5-2643
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro P600
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPS

Price: $52.00/m


Express GPU - P620

Features

  • 32GB RAM
  • Eight-Core Xeon E5-2670
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro P620
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 512
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.5 TFLOPS

Price: $59.00/m


Express GPU - P1000

Features

  • 32GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro P1000
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 640
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 1.894 TFLOPS

Price: $64.00/m


Basic GPU - GTX 1650

Features

  • 64GB RAM
  • Eight-Core Xeon E5-2667v3
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1650
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0 TFLOPS

Price: $99.00/m


Basic GPU - T1000

Features

  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro T1000
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 896
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 2.5 TFLOPS

Price: $79.2/m


Basic GPU - K80

Features

  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 1100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Tesla K80
  • Microarchitecture: Turing
  • Max GPUs: 2
  • CUDA Cores: 4992
  • GPU Memory: 24GB GDDR5
  • FP32 Performance: 8.73 TFLOPS

Price: $129.00/m


Professional GPU VPS - A4000

Features

  • 32GB RAM
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered
  • Bandwidth

  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro RTX A4000
  • CUDA Cores: 6,144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Price: $129.00/m


Basic GPU - GTX 1660

Features

  • 64GB RAM
  • Dual 10-Core Xeon E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsr

  • OS: Linux / Windows 10
  • GPU: Nvidia GeForce GTX 1660
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0 TFLOPS

Price: $139.00/m


Basic GPU - RTX 4060

Features

  • 64GB RAM
  • Eight-Core E5-2690
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForece RTX 4060
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPS

Price: $149.00/m


Professional GPU - RTX 2060

Features

  • 128GB RAM
  • Dual 10-Core E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 2060
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 1920
  • Tensor Cores: 240
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 6.5 TFLOPS

Price: $111.3/m


Advanced GPU - RTX 3060 Ti

Features

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Price: $179.00/m


Advanced GPU - A4000

Features

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A4000
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Price: $209.00/m


Advanced GPU - V100

Features

  • 128GB RAM
  • Dual 12-Core E5-2690v3
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • 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 TFLOPS

Price: $229.00/m


Advanced GPU - A5000

Features

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Price: $269.00/m


Enterprise GPU - A40

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • 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 TFLOPS

Price: $439.00/m


Enterprise GPU - RTX 4090

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • 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 TFLOPS

Price: $409.00/m


Enterprise GPU - RTX A6000

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • 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 TFLOPS

Price: $409.00/m


Enterprise GPU - A100

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • 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 TFLOPS

Price: $639.00/m


Multi-GPU - 3xRTX 3060 Ti

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Price: $369.00/m


Multi-GPU - 3xRTX A5000

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Price: $539.00/m


Multi-GPU - 3xRTX A6000

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS

Price: $899.00/m


Multi-GPU - 3xV100

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 3
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Price: $469.00/m


Multi-GPU - 2xRTX 4090

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS

Price: $639.00/m


Multi-GPU - 8xV100

Features

  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 8 x Nvidia Tesla V100
  • Microarchitecture: Volta
  • Max GPUs: 8
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Price: $1499.00/m


Multi-GPU - 4xA100

Features

  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps

  • 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 TFLOPS

Price: $1899.00/m


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

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

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.

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.

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.

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:
01.

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.
 
02.

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.

03.

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.

04.

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.

FAQs of GPU Dedicated Server Hosting

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

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.

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.

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.

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.

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.

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.

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.

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.