Cloud GPU Server Hosting, Cloud Computing Remote Server

A cloud GPU server is a type of cloud computing service that provides access to a remote server equipped with Graphics Processing Units (GPUs). These GPUs are designed to perform complex, highly parallel computations at a much faster rate than conventional central processing units (CPUs).
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

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

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.

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

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
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.

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

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 - 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 - 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.
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.

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.

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 - 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
More GPU Hosting Plansarrow_circle_right

Unlocking High-Performance Computing with Cloud GPU Servers

Our cheap Nvidia GPU cloud hosting services, which come with high guaranteed bandwidth and two dedicated IPs, are backed by cloud GPU hosting experts with years of experience.
A Range of GPU Models
A Range of GPU Models
The GPU models include NVIDIA K40, K80, A2, RTX A4000, A10, and RTX A5000. The GPUs combine a range of compute options to cover your needs for various business workloads.
Increased Productivity
Increased Productivity
Nvidia GPU cloud servers and Nvidia GPU cloud VPS allow designers to rapidly iterate by shortening the rendering time. You can invest your time in innovation rather than rendering or computing, and your team productivity will be significantly improved.
DDoS Protection
DDoS Protection
Resources allocated to users are fully isolated to ensure data security. GPU Mart protects against DDoS from the edge fast while ensuring legitimate traffic of Nvidia GPU cloud server is not compromised.
Clear Local Resources
Clear Local Resources
Running large Machine Learning models or rendering tasks can slow down your computer. You can consider outsourcing the computing power to the GPU cloud services, and the cloud GPU server will not consume your local resources.
Low Costs
Low Costs
Instead of purchasing high-power physical Nvidia GPU servers at a high price, you can achieve the same level of performance by renting Nvidia GPU cloud servers at a lower cost every month.
Highly Scalable
Highly Scalable
Multiple Nvidia GPU cloud hosting plans can meet your increased workload or meet your changing needs as your business expands.
Deep Learning
Deep Learning

GPU Cloud Computing Server for Deep Learning

Cloud GPU is useful for deep learning tasks because it helps reduce training time by simply running all operations at the same time rather than one by one.
GPU cloud server can efficiently deal with complex operations and contribute to deep learning functions such as matrix operation, only computing preconditions, and computing power.
AI Training
AI Training

Graphics Processing Unit Cloud Remote Server for AI

Speed up the computer by shifting the workload to build, train, and adjust the AI model to the GPU cloud services. We can help preinstall AI software, such as TensorFlow enterprise, Jupiter, anaconda, PyTorch, MXNet, Keras, CNTK. Expand your hardware infrastructure easily and cost-effectively with your workstation.

Customer Voice about Cloud GPU Hosting

At GPU Mart, we are dedicated to providing quality products and services to achieve clients' satisfaction. When renting a Nvidia GPU cloud server, you have direct access to the server and can use them for any task.
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The customer service is very enthusiastic and the response speed is very timely.
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Very clear, responsive and helpful. Never thought asking for support could be a great experience like this. Thank you
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Thanks hicker I see you typeing on the end of chat sorry for that 😂 I feel ....
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Thank you for been there for me and get my issue and my questions resolved
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Okay, I understand that many service providers offer monitoring metrics services, such as setting monitoring thresholds, notifying via email when VPS CPU usage exceeds 90%, etc.
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Cathy solved the problem.Excellent problem-solving skills.Very polite and respectful.Additionally, I am satisfied with the product purchased and the support they provide.
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Sky, you are the best! :D You just gained a loyal customer! Thank you very much for the quick support, it's my first day with your company and I was extremely satisfied with the support, thank you!
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Took a bit of time, but eventually got my problem figured out and solved. Thanks! :)
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Thanks Code H for creating ticket to the belling team thanks so much ❤️❤️
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Hiker deserves lots of praise for staying calm during an hour long troubleshooting.

FAQs of GPU Server, Cloud Computing Remote Server

What is a cloud GPU?

The cloud graphics processing unit (GPU) provides hardware acceleration for applications without the need to deploy the GPU on the user's local device. Common use cases of cloud GPU include:
Visual workloads: powerful server/desktop applications often use highly graphical content. Cloud GPU can be used to accelerate video coding, rendering, and streaming media, as well as computer-aided design (CAD) applications.
Computational workload: large-scale mathematical modeling, deep learning, and analysis require the parallel processing capability of the general graphics processing unit (GPGPU) kernel.

What can Nvidia GPU cloud servers be used for?

Nvidia GPU cloud servers use less energy to accomplish the same tasks and place lower demands on the supplies that power them. It is an excellent solution in cases where high-performance computing combined with low cost is essential.

Can I upgrade or downgrade to another plan of Nvidia GPU Cloud server?

Yes. you can change the Nvidia GPU cloud server plan to meet your changing needs. We offer multiple cloud GPU servers for scenes such as video processing, visualization, scientific computing, and deep learning.

Do you offer a free trial for the cloud GPU server hosting?

We’re excited to offer a 24-hour free trial for new clients to test our servers. To request a trial, please follow these steps:

1. Choose a plan and click 'Order Now'.
2. Enter ‘24-hour free trial’ in the notes section and click “Check Out”.
3. Click 'Submit Trial Request' at the top right corner, and complete your personal information as instructed; no payment is required.

Once we receive your trial request, we’ll send you the login details within 30 minutes to 2 hours. If your request cannot be approved, you will be notified via email.

What is cloud GPU server used for?

Cloud GPU server can be useful for tasks such as machine learning, scientific simulations, video rendering, and more. The user pays for only the time they use the GPU, making it a cost-effective solution for many types of compute-intensive workloads.