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GPU Server For Deep/Machine Learning & AI

Rent dedicated and cloud GPU servers for neural networks and machine learning. AI and ML. Virtual GPU servers powered by NVIDIA graphics cards - the best solution for big data, parallel computing and neural network training.

Artificial Intelligence (AI) Servers

Cloud4U offers the rental of NVIDIA® GPU Virtual Servers, which bring a new level of performance to work with artificial intelligence and machine learning.

You can rent servers powered by NVIDIA® Tesla® V100 and P100 GPUs.



NVIDIA® Tesla® P100 GPUs enable compute-intensive tasks, including big data.

You can work with a virtual GPU server using VDI technology. The vGPU resources are evenly distributed across user sessions and accessed using a standard RDP client.


GPU Pricing


Description

Price per month*, EURO

Price per hour*, EURO

Application

NVIDIA GRID P100 ML vGPU 27,14
 0,034
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 1GB 27,14
 0,034
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 2GB 44,1
 0,058
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 4GB 65
 0,090
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 8GB 113,93 0,158
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 16GB
195,31
 0,271
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID V100 ML vGPU 52,08
 0,072
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 1GB 52,08 0,072 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 2GB 84,64
 0,117
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 4GB 130,21
 0,180
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 8GB 227,86
 0,316
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 16GB
390,62
 0,542
 VDI, graphics and rendering, video transcoding, machine learning
NVIDIA GRID ML vGPU 32GB
781,25
 1,08
 VDI, graphics and rendering, video transcoding, machine learning

* Prices are exclusive of VAT.

Hourly billing is available. Costs are calculated at the end of the month and rounded up to whole units. Service is purchased with IaaS. Virtual server rental is not included. 
Please contact Cloud4U managers for more information.




Ready-to-use GPU virtual server configurations

V100 1Gb

High performance computing,
Artificial Intelligence

from 0,46 € per hour
336,6 € per month

vGPU NVIDIA Tesla V100 1 Gb

6 vCPU+ 64 RAM+ 120SSD

Backup to remote site
MS Windows, RDP licenses (on request)

Order a server

V100 2Gb

High performance computing,
Artificial Intelligence

from 0,67 € per hour
482,65 € per month

vGPU NVIDIA Tesla V100 2 Gb

12 vCPU+ 88 RAM+ 120SSD

Backup to remote site
MS Windows, RDP licenses (on request)

Order a server

P100 8Gb

3D graphics, machine learning,
video rendering and transcoding

from 0,38 € per hour
273,17 € per month

vGPU NVIDIA Tesla P100 8 Gb

4 vCPU+ 32 RAM+ 120SSD

Backup to remote site
MS Windows, RDP licenses (on request)

Order a server

P100 16Gb

3D graphics, machine learning,
video rendering and transcoding

from 0,82 € per hour
591,74 € per month

vGPU NVIDIA Tesla P100 16 Gb

16 vCPU+ 64 RAM+ 120SSD

Backup to remote site
MS Windows, RDP licenses (on request)

Order a server

Benefits of GPU for Machine Learning

  • Get started immediately 

    You can start training neural networks immediately with pre-installed application packages such as PyTorch, TensorFlow, Keras, XGBoost, Scikit-learn, CUDA, OpenCV, Jupyter Notebooks and others for machine learning (DSVM) tasks. We also provide pre-installed libraries such as NumPy, Pandas and Scikit-learn to speed up the training process.

  • Accelerate data processing and analysis  

    We offer NVIDIA® Tesla® P100s, the world's most powerful GPUs for neural network training. You will be able to process data and perform high performance computing even faster. Compared to CPUs, GPUs increase computing speed by up to 8x.

  • Get the resources you need for ML training.

    By renting a cloud server, you can choose exactly the amount of resources you need for your task. You can scale capacity as needed.

  • Reduce GPU resource costs  

    No need to buy your own hardware (up to 70% savings). Pay only for the resources you use.

  • Work anywhere, anytime

    Graphics resources can be accessed from any device, anywhere in the world. GPU server works 24/7

    .

  • Never worry about data security

    Cloud solutions protect your data


GPU Server Use Cases:

Virtual Reality Application Development.
Virtual reality development requires very powerful and high performance hardware. Leverage the power of a cloud GPU for development and get access to the resources you need faster, easier and at a lower cost than using a physical server.
Neural network training and deep machine learning
Use powerful servers with graphics cards to train and deploy ML models. Cloud GPUs let you train neural networks and perform machine learning.
Big data analytics and High Performance Computing
Accelerate processing algorithms to perform complex calculations and analysis. High-performance GPU cloud servers can quickly process graphics, images or video, and accelerate face and voice recognition.
3D Graphics and Rendering
Accelerate your project rendering many times faster with the A5000 and A100 GPU accelerators.
Data Science
Increase the performance and speed of data analysis.
Scientific Research
Perform complex tasks in bioinformatics, engineering, computational chemistry, physics, biology, computational fluid dynamics, mathematics, cosmology, and many other scientific fields much faster by using multiple graphics cards to analyze and process data.
Parallel computing with CUDA
Get the most out of the CUDA® parallel computing platform. Use parallel computing technology with Tesla V100 GPUs in the cloud or on a GPU virtual server.
Automate and increase the number or speed of development processes.
Take advantage of low-code development by integrating neural network and AI servers into low-code platforms. Dramatically increase the processing speed of any scenario using these platforms, whether it's business process automation or mobile app development.


FAQ

How does the service work?
GPU Cloud Graphics is delivered as part of a VDI service that uses computing resources such as CPU, RAM, and vGPU. You connect to this desktop over the internet from anywhere in the world.
What system software is used to deliver the service?
VMware Horizon View software is used to connect to the desktop. Windows Server 2016 operating system is installed on the desktop itself.
Do I need a powerful PC?
The performance of your PC is almost irrelevant. What is important is that you can install desktop access software on it: VMware Horizon View.
What type of communication channel is required?
For normal operation you will need a stable Internet channel of 10Mb/s or higher with the lowest possible latency. If the latency of the communication channel is high, you will notice a visible delay in response to your mouse, keyboard, etc., and noticeable delays in dynamically changing images on your PC screen. Reasons for high latency: traffic from your PC to the VDI passing through a large number of intermediate nodes, poor communication channels from your ISP and/or between intermediate nodes, large physical distance between your PC and our data center, etc.
What software can I use on a remote desktop with graphics?
You can install any software you like, including Sony Vegas Pro, GRAPHISOFT, Solidworks, Compass, Nanocad, T-Flex, Polymatics, as well as the whole range of Adobe CC (especially Adobe After Effects, Adobe Photoshop, Adobe Illustrator, Adobe Premiere, etc.) and Autodesk (AutoCAD 2017, AutoCAD Electrical 2017, AutoCAD Map 3D 2017, 3DS Max, Revit 2017, Inventor 2017, Vault 2017).
Is it possible to rent a server with GPU on an hourly basis?
No. You can purchase this service for a minimum of 1 month.
How much does it cost?
Our website shows the cost of ready-made solutions with a strictly defined configuration. Our managers can also create an individual server configuration (with individual pricing) to suit your needs, including as much CPU, RAM, vGPU and disk space as you require.
Can I change the server settings?
Yes, of course you can. If you find that you need more vGPU or CPU cores, you can increase these parameters in a matter of minutes.
Is it possible to mine cryptocurrency with your GPUs?
Yes, but we do not recommend it. The income from mining is elusive and uncertain, and payment for our service is immediate and in full.
Can I order custom GPU servers for neural network and artificial intelligence training?
Yes, you can choose any hardware and rent powerful GPU servers based on NVIDIA GPUs. You can also choose pre-built configurations optimized for your tasks.

For more information visit knowledgebase, ask online consultant or send an inquiry to our tech support team using ticket system.
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Let our managers know if you are interested in a solution or a service. They will contacts you within 2 hours.
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