GPU Hosting, Dedicated Server with GPU Rental, VPS with GPU

GPU hosting and GPU dedicated servers offer significant advantages over traditional hosting solutions. With their high-performance computing power, they can handle large workloads and complex applications that traditional servers cannot. Additionally, these solutions offer scalability, flexibility, and cost-effectiveness, allowing businesses to easily expand or scale down their computing resources as their needs change.

GPU Hosting Pricing, GPU Dedicated Server Rental

When choosing GPU hosting plans, you need to comprehensively consider the server's computing power, pricing, support, security, and scalability.
  • GPU Card Classify :
  • GPU Server Price:
  • GPU Use Scenario:
  • GPU Card Model:
Autumn Sale

Express GPU VPS - GT730

17.00/mo
41% OFF Recurring (Was $29.00)
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  • 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

Express GPU VPS - K620

21.00/mo
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  • 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 TFLOPS

Basic GPU VPS - P600

29.00/mo
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  • 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

Lite GPU Dedicated Server - GT710

45.00/mo
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  • 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
Autumn Sale

Lite GPU Dedicated Server - GT730

38.5/mo
30% OFF Recurring (Was $55.00)
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  • 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
  • A cost-effective option for running lightweight Android emulators, light video streaming, basic graphic design, and more. 2.5 Times Powerful than Express GPU VPS - GT730

Lite GPU Dedicated Server - K620

49.00/mo
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  • 16GB RAM
  • Quad-Core Xeon E3-1270v3
  • 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

Express GPU Dedicated Server - P600

52.00/mo
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  • 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

Express GPU Dedicated Server - P620

59.00/mo
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  • 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

Express GPU Dedicated Server - P1000

64.00/mo
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  • 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

Basic GPU Dedicated Server - GTX 1650

99.00/mo
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  • 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

Basic GPU Dedicated Server - T1000

99.00/mo
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  • 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
Autumn Sale

Basic GPU Dedicated Server - K80

76.3/mo
Save 41% (Was $129.00)
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  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-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
  • Suitable for Basic AI, Data Modeling, High Performance Computing, etc. Supports CUDA versions 11.4 and lower.

Professional GPU VPS - A4000

129.00/mo
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  • 32GB RAM
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered Bandwidth
  • Once per 2 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
  • Available for Rendering, AI/Deep Learning, Data Science, CAD/CGI/DCC.

Basic GPU Dedicated Server - GTX 1660

139.00/mo
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  • 64GB RAM
  • Dual 10-Core Xeon E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1660
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0 TFLOPS
Autumn Sale

Basic GPU Dedicated Server - RTX 4060

104.3/mo
42% OFF Recurring (Was $179.00)
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  • 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
  • Ideal for video edting, rendering, android emulators, gaming and light AI tasks.

Professional GPU Dedicated Server - RTX 2060

159.00/mo
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  • 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
  • Powerful for Gaming, OBS Streaming, Video Editing, Android Emulators, 3D Rendering, etc

Professional GPU Dedicated Server - P100

159.00/mo
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  • 128GB RAM
  • Dual 10-Core E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Tesla P100
  • Microarchitecture: Pascal
  • Max GPUs: 2
  • CUDA Cores: 3584
  • Tensor Cores: 640
  • GPU Memory: 16 GB HBM2
  • FP32 Performance: 9.5 TFLOPS
  • Suitable for AI, Data Modeling, High Performance Computing, etc.

Advanced GPU Dedicated Server - RTX 3060 Ti

179.00/mo
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  • 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

Advanced GPU Dedicated Server - A4000

209.00/mo
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  • 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
  • Good choice for hosting AI image generator, BIM, 3D rendering, CAD, deep learning, etc.

Advanced GPU Dedicated Server - V100

229.00/mo
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  • 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
  • Cost-effective for AI, deep learning, data visualization, HPC, etc

Advanced GPU Dedicated Server - A5000

269.00/mo
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  • 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
  • Good alternative to RTX 3090 Ti, A10.

Enterprise GPU Dedicated Server - A40

439.00/mo
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  • 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
  • Ideal for hosting AI image generator, deep learning, HPC, 3D Rendering, etc.

Enterprise GPU Dedicated Server - RTX 4090

409.00/mo
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  • 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
  • Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.

Enterprise GPU Dedicated Server - RTX A6000

409.00/mo
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  • 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
  • Optimally running AI, deep learning, data visualization, HPC, etc.

Enterprise GPU Dedicated Server - A100

639.00/mo
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  • 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
  • Good alternativeto A800, H100, H800, L40.

Multi-GPU Dedicated Server- 2xRTX 4090

729.00/mo
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  • 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
  • Good alternative to 2xRTX 3090, 2xRTX A6000, L40.

Multi-GPU Dedicated Server - 3xRTX 3060 Ti

369.00/mo
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  • 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

Multi-GPU Dedicated Server - 3xV100

469.00/mo
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  • 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

Multi-GPU Dedicated Server - 3xRTX A5000

539.00/mo
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  • 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

Multi-GPU Dedicated Server - 3xRTX A6000

899.00/mo
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  • 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

Multi-GPU Dedicated Server - 4xA100

1899.00/mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 4 x Nvidia A100
  • Microarchitecture: Ampere
  • Max GPUs: 4
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPS

Multi-GPU Dedicated Server - 8xV100

1499.00/mo
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  • 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

GPU Server Rental Will Cost Much Lower than Buying One

GPU Server Rental can be a cost-effective option for individuals and businesses that require high-performance computing resources. By eliminating upfront costs, maintenance costs, and obsolescence, renting can provide a more affordable way to access the computing power you need.
Lower upfront costs

Lower Upfront Costs

Buying a GPU server can require a significant upfront investment, which may be too high for some individuals or businesses. Renting a GPU server eliminates this upfront cost, allowing you to access high-performance computing resources without the need for a large capital investment.
No Maintenance Costs

No Maintenance Costs

Owning a GPU server requires regular maintenance, including software updates and hardware replacements, which can be costly over time. With a rented GPU server, the hosting provider is responsible for maintenance, ensuring that the hardware and software are up-to-date and running smoothly.
Scalability

Scalability

Renting a GPU server allows you to scale up or down your computing resources based on your specific needs. This flexibility eliminates the need to invest in additional hardware when your workload increases or scale down when you don't need the resources anymore.
No Obsolescence

No Obsolescence

Technology advances at a rapid pace, and hardware can quickly become outdated. Renting a GPU server ensures that you always have access to the latest and most powerful hardware, eliminating the need to purchase new hardware every few years.

Importance of GPU Dedicated Server with High-Performance Computing Resources

A GPU dedicated server with high-performance computing resources is essential for businesses and individuals who require intensive computing power. By providing increased speed and performance, high scalability, customizable hardware and software, reduced hardware costs, and improved security, GPU dedicated servers can help drive innovation and growth.
Increased speed and performance

Increased Speed and Performance

A GPU dedicated server provides significantly higher performance than traditional servers or desktop computers. This increase in speed and performance can result in faster data processing, analysis, and modeling, ultimately leading to increased productivity and efficiency.
Customizable hardware and software

Customizable Hardware and Software

With a dedicated GPU server, businesses and individuals have complete control over the hardware and software configurations, enabling them to tailor the server to their specific needs. This customization can result in faster processing times, increased accuracy, and improved results.
High scalability

High Scalability

With a GPU dedicated server, you can easily scale up or down your computing resources as needed. This flexibility allows businesses to adjust to changes in workload, reducing costs and improving efficiency.
Intel Xeon CPU

Intel Xeon CPU

Intel Xeon has extraordinary processing power and speed, which is very suitable for game servers. So you don't even have to rely on overclocking to run the game at the highest settings.
Reduced hardware costs

Reduced Hardware Costs

Purchasing and maintaining high-performance computing hardware can be expensive. With a GPU dedicated server, businesses and individuals can avoid these costs, as the hosting provider is responsible for the hardware and maintenance.
Improved security

Improved Security

GPU dedicated servers typically provide better security features than traditional servers, making them ideal for applications that require high levels of security, such as financial or healthcare industries.

4 User Senarios of GPU Hosting, Dedicated Server with GPU

Game Coding

Game Coding

Game drawing is the traditional usage scenario of GPU hosting. GPU dedicated server can provide a real-time rendering of movie quality for game developers to enhance the game user experience. GPU hosting has higher floating-point operation ability and faster processing speed for graphics and media.
Cloud AI Server

Cloud AI Server

The combination of CPU and GPU can meet the needs of high-throughput interconnection, and provide powerful computing support for artificial intelligence application scenarios, such as natural language processing, computer vision, and voice interaction.
Medical Imaging

Medical Imaging

With its powerful parallel computing ability, GPU hosting can complete the real-time rendering of images. Combined with the training and inference of deep learning neural network, it provides matrix operation acceleration, which can help remove artifacts, adjust contrast, enhance sharpness, and obtain clearer medical images.
Cryptocurrency

Cryptocurrency

Mining is a large number of repetitive general operations, which is just in line with the performance characteristics of GPU hosting. GPU hosting is very suitable for this kind of brainless algorithm. The more stream processors, the more advantages.

Dedicated Server Accelerated by Nivdia GPU

A dedicated server accelerated by Nvidia GPU can provide businesses and individuals with a powerful and cost-effective solution for their high-compute workloads. With increased computing power, improved graphics performance, customizable configurations, lower total cost of ownership, and reliable performance and uptime, a dedicated server with Nvidia GPU can help businesses optimize their compute resources and achieve better results.
Increased Computing Power

Increased Computing Power

Nvidia GPUs are designed for parallel processing and can handle complex computing tasks much faster than CPUs. By using a dedicated server with Nvidia GPU, businesses and individuals can perform high-compute tasks, such as AI, machine learning, and data analytics, much faster and more efficiently.
Improved Graphics Performance

Improved Graphics Performance

Nvidia GPUs are also widely used for gaming and graphics-intensive applications. A dedicated server with Nvidia GPU can improve graphics performance and enable businesses to run graphic-intensive applications, such as video rendering and 3D modeling, more efficiently.
Customizable Configurations

Customizable Configurations

A dedicated server with Nvidia GPU allows users to customize their hardware and software configurations to suit their specific needs. This flexibility can help businesses optimize their compute resources and achieve better performance.
Reliable Performance and Uptime

Reliable Performance and Uptime

Dedicated servers with Nvidia GPU are built to handle high-compute workloads and can provide businesses with reliable performance and uptime. Service providers also typically offer support and maintenance to ensure the server remains operational and efficient.

Two Usage Models of GPU Dedicated Server Hosting

Powerful computing capability of GPU hosting brings advantages, which can be used to study various usage models of GPU dedicated servers.
Mass Computing Processing Model

Mass Computing Processing Model

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The powerful computing function of GPU hosting can be applied to massive data processing, such as search, big data recommendation, and intelligent input method.
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The amount of data that would have taken several days to complete can be calculated in a few hours using a GPU hosting.
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It originally required dozens of CPU hosting to work together on the cluster, which can be completed by using a single GPU server.
Deep Learning Training Model

Deep Learning Training Model

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The GPU server can accelerate the computing service and directly connect and communicate with the outside world.
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The GPU server and the ECS are used together. The ECS provides a computing platform for the GPU ECs.
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Cloud Object storage (COS) can provide a large amount of cloud storage services for GPU hosting.

Features of GPU Dedicated Server Hosting

Add additional resources or services to your current servers to meet your business needs.
Support and Management Features for GPU Server Rental
Remote Access (RDP/SSH)doneRDP for Windows server and SSH for Linux Server
Control PanelFreeFree control panel for management of servers, orders, tickets, invoices, etc.
Administrator PermissiondoneYou have full control of your dedicated server.
24/7/365 SupportdoneWe offer 24/7 tech support via Ticket and Livechat
Server RebootFree
Hardware ReplacementFree
Operating System Re-InstallationFreeMaximum twice a month and $25.00 each time for additional reloads.
Software Features for GPU Hosting
Operating SystemOptionalFree CentOS, Ubuntu, Debian, Fedora, OpenSUSE, Almalinux, Proxmox, VMWare, FreeNAS.
Microsoft Windows Server 2016/2019/2022 Standard Edition x64:$20/m
Microsoft Windows 10/11 Pro Evaluation: 90-day free trial. Please purchase a Win10/11 Pro license by yourself after the trial period.
Free Shared DNS Servicedone
Optional Add-Ons for Dedicated Server with GPU
Additional Memory16GB: $10.00/month
32GB: $18.00/month
64GB: $32.00/month
128GB: $56.00/month
256GB: $96.00/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
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 Dedicated IP$2.00/month/IPv4 or IPv6IP purpose required. Maximum 16 per package.
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.
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.
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.
Private Network$10.00/month/server
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
HDMI Dummy$15 setup fee per serverA one-time setup fee is charged for each server and cannot be transferred to other servers.

Many Advantages offered by GPU Dedicated Server Hosting

GPU dedicated servers offer many advantages, including full control, higher performance, better scalability, better data security, and lower operating costs, among others. These advantages make GPU dedicated servers ideal for processing large-scale data, performing complex calculations, and accelerating applications.

FAQs of GPU Hosting, Dedicated Server with GPU

What is GPU hosting?

GPU hosting refers to renting GPU resources from a third party. Database Mart leases a portion of GPU resources to customers who need them for specific applications or workloads. These resources are usually accessed through remote connections, allowing users to utilize their computing power without investing in and maintaining their own hardware.

When Is a Dedicated GPU Necessary?

The dedicated GPU acts as an accelerator for the CPU, assisting it with processes and thereby speeding up processing time. It also can help improve graphics rendering, perfect for high-end gaming, improve video editing, and offer quick access to high-definition images

Can I run BlueStacks on your GPU servers?

Yes, DBM's GPU hosting service is optimized for applications, such as BlueStacks Android Emulator. Users can take advantage of the Multi-Instance capability to work on several applications on the same DBM physical server, making it the ideal solution for multi-tasking.

What operating systems does GPU hosting support?

We have a wide selection of ISO images in our control panel, such as Windows 10, Windows Server, Linux OS. You can choose our OS or use your own image and install the OS via IPMI. Please contact us with any questions.

What is a GPU dedicated server?

GPU dedicated servers are physical servers that are exclusively dedicated to a single customer. These servers are typically equipped with multiple high-end GPUs, making them ideal for computationally intensive workloads such as machine learning, data processing, and scientific simulations. Unlike GPU VPS, GPU dedicated servers provide customers with complete control over the hardware and software configurations, enabling them to customize the server to their specific needs.

What are the benefits of GPU dedicated server?

A GPU dedicated server is a dedicated server packed with one or more GPU cards. Since it's a dedicated server, you get exclusive access to the physical server, receiving maximum security, performance, and availability. With one or more GPU cards, the servers are an excellent solution for projects requiring high-performance computing resources. The dedicated GPUs are mostly used for deep machine learning, architectural visualization, video processing, and scientific computing.

Do Dedicated servers have GPU?

Most CPUs (central processing unit) come with an integrated GPU. However, upgraded servers or servers built with graphics in mind require a dedicated (or discreet) GPU.

Can I run MEmu on your GPU server?

Yes, GPUs can process many pieces of data simultaneously, making them useful for machine learning, video editing, gaming applications, and Android Emulators, such as Memu.