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.
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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).
October Sale
Basic GPU-K40
$ 64.50/m
50% OFF (Was $129.00)
1M3M12M24M
Order Now- 64GB RAM
- Eight-Core Xeon E5-2670report
- 120GB + 960GB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Tesla K40report
- Microarchitecture: Kepler
- Max GPUs: 2report
- CUDA Cores: 2880
- GPU Memory: 12GB GDDR5
- FP32 Performance: 4.29 TFLOPSreport
- $64.50 first month if monthly payment, then $129.00/m. For new client only!
October Sale
Professional GPU-K80
$ 111.30/m
30% OFF (Was $159.00)
1M3M12M24M
Order Now- 128GB RAM
- Dual 10-Core E5-2660v2report
- 120GB + 960GB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Tesla K80report
- Microarchitecture: Turing
- Max GPUs: 2report
- CUDA Cores: 4992
- GPU Memory: 24GB GDDR5
- FP32 Performance: 8.73 TFLOPSreport
- For new orders only! Limit one per client.
October Sale
Advanced GPU-A4000
$ 146.30/m
30% OFF (Was $209.00)
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia RTX A4000report
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPSreport
- For new orders only! Limit one per client.
Advanced GPU-A5000
$ 269.00/m
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia RTX A5000report
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 8192
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPSreport
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.
Increased Productivity
Nvidia GPU cloud servers 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
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
Running large Machine Learning models or rendering tasks can slow down your computer. You can consider outsourcing the computing power to the cloud, and the cloud GPU server will not consume your local resources.
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
Multiple Nvidia GPU cloud server plans can meet your increased workload or meet your changing needs as your business expands.
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 can efficiently deal with complex operations and contribute to deep learning functions such as matrix operation, only computing preconditions, and computing power.
GPU can efficiently deal with complex operations and contribute to deep learning functions such as matrix operation, only computing preconditions, and computing power.
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. 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.
the response is excellent and since honesty matters, I give support 9/10.
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The Agent Hannah was just superb. The person was incredibly helpful and guided a non IT person like me with proficiency and confidence. Very dedicated and supportive. I would give 10/5 rating for the kind of super support that was provided to me by Hannah. Honestly, am impressed.
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Thank you very much for your patience and professionalism. Please keep up the good work
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Helps hast. Please set up a beep after each message. I can not hear when messages show up in the chat.
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La solución fue en tiempo real y muy amable la atención prestada. 10/10
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After a lengthy wait before any response, the support from July was excellent, accurate and quick. Thank you
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Your team consistently provides a high level of help. technical expertise and cordial communications. It is exceptional. Thank you.
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Thank you for your Thank you for your accompaniment while the problem was resolved.
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Like Past 3 Days I Had A Bad Experience With Support And Service But This One Is Best For My Need
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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.
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?
Yes, we provide a 3-day free trial for new clients to test if the cloud GPU server hosting can meet your needs. If you'd like to claim a free trial, please send a Live Chat message to us.
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.
Contact Us and Get a 3-Day Trial Now!
Leave us a note when purchasing, or contact us to apply a trial GPU server. You have enough time to test the performance, network latency, compatibility, multiple instance capacity, etc.
Recommend Friends, Get Credits
$20 will be credited to your account once you recommend a new client to purchase servers. Rewards can be superimposed.