ChainKloud GPU Cloud for Deep Learning

Powerful GPU Cloud for AI/ Deep Learning.Getting started to Train & Tune your project on Cloud Computing Platform.We support all AI IDEs & Libraries such as: TensorFlow, Jupyter, Anaconda, Python, PyTorch, MXNet, Keras, CNTK, Caffe and so on.Fully-managed enterprise GPU cloud platform. Desktops, terminals, and servers.

PRICING GET STARTED

The Best GPU Cloud for AI/DeepLearning.

ChainKloud GPU Cloud, We Concentrate On People and The Joy Of Creativity. Optimized for Scientific Computing, Machine Learning, Deep Learning. We support all AI IDEs & Libraries such as: TensorFlow, Jupyter, Anaconda, Python, PyTorch, MXNet, Keras, CNTK, Caffe and so on.

We bring the power of GPU Cloud Computing directly to your work desk

Reduce your operating system load and speed up your computer by moving workload to Build & Train & Tune the model of your AI/ Deep Learning project onto GPU Cloud. With only 5 clicks to get access to a world class GPU computing. Fully-managed enterprise GPU cloud platform. Desktops, terminals, and servers. Enjoy freedom and take advantage of easy and cost effective scaling up the hardware infrastructure from your own workstation.

Let’s work together and “Happy Training”.

Install any AI IDEs and use the image as your own computer

We Concentrate On People and The Joy Of Creation. Best GPU-Accelerated Deep Learning on the Cloud.

We provide pre-installed systems (template workload) with available AI software such as TensorFlow Enterprise, Jupyter, Anaconda, PyTorch, MXNet, Keras, CNTK and so on. Enjoy freedom and take advantage of easy and cost effective scaling up the hardware infrastructure from your own workstation. It’s Convenient and Familiar!

Let’s work together and “Happy Training”.

Quick Start to ChainKloud AI

Yes, We’re ChainKloud AI – Cloud GPU Servers to Render. And it’s Easy to Use.

1. Register

Create an account here. Please put complete & accurate information as the system will send a link to your email address (or a code to your phone). If you cannot receive “Verify email” directly in Inbox, you should check your “Spam” folder as well.

2. Create new system image

Log in with your credentials and Create a new system “image” to create your independent system (Image) (your own working environment) that you can reuse: when you finish your work it’s saved, and then loaded when you turn on the server another time. We provide pre-installed systems (template workload) with available AI software such as TensorFlow Enterprise, Jupyter, Anaconda, PyTorch, MXNet, Keras, CNTK and so on.It’s Convenient and Familiar!

3. Connect & Setup

You will be provided with a .rdp (Remote Desktop Connection) file with login credentials to connect directly to the server and configure as you wish. Remote Desktop Connection or any Connection methods: Any Desk Remote, SSH, Console, directly from Jupyter notebook, Terminal and so on. Or you can ask us to serve to make it convenient for your work. Our support team is available 24/7.

4. Transfer data

You can transfer files directly to our server by using GpuHub Sync (sFTP/FTP) or popular services (SFTP, FTP) such as CyberDuck, Filezilla, cloud services such as Dropbox, Google Drive, One Driver… or by copying directly via RDP. Thanks to our special and unique Data transfer method in the world, your files can be transferred even when the server is turned off, which saves your money. If you have any difficulties, do not hesitate to contact us for assistance.

5. Use GPU power

You can connect to a server or multiple servers anytime. Your working data & environment that you generated will be saved and those Images are reusable. We are hurriedly working to release a sharing library including many popular setup IDE for DeepLearning such as TensorFlow Enterprise, TensorFlow, PyTorch, MXNet, Keras, CNTK, Caffe, Caffe2, Theano… and continue widening this list to arrive at convenience. Get ready to use the GPU power like your own PC and have fun at work.

6. Flexible payment, pay as you go

You will be charged on a per-minute basis. Depending on the type of server you choose, we will issue you an invoice once you shut down the servers, so that you will control your balance easily.We accept payment through PayPal, Stripe, bank transfer, or credit card. And of course, we provide many promotions for customers who make monthly payments. Staying connected with us to keep updating these programs.
Sincerely thank you!

FAQ - ChainKloud GPU Render Farm

What types of Cloud Rendering services does iRender provide?

iRender offers 2 main services to serve all your work requirements:

 

1. GPU Cloud, GPU server rental service.

We provide this service completely automatically according to IaaS (Infrastructure as a Service) model, which is charged accurately for every second of use, similar to the world’s largest cloud computing service systems such as AWS Cloud, Microsoft Azure,… but the price is 1/10 to 1/12 times cheaper.

With just 3 simple steps: create an account, choose the GPU scale (the number of GPUs you need: 2/4/6/8 x RTX 3080/3090), and remote control to use. The GPU server rental services give you more control over the rendering process and, in general, offer more flexibility. It’s simply another computer you can use to render your project on, not much different from rendering locally on your machine. That’s easy!

All of our services are fully integrated into a single cloud computing platform (Cloud Rendering), dedicated to Rendering. You’re not required to have any special knowledge to use the services, as simple and easy as bank transfer or book a Grab trip for yourself.

 

2. Remote Render Farm:

This service is provided by the PaaS (Platform as a Service) model by iRender with the purpose of allowing 3D artists to immediately own their own Render Farm on Cloud, with just a few Clicks, without worrying about infrastructure, hardware, network, electricity, operating environment conditions of the device … Not only that, but all sizes of scale such as the number of Render Nodes, use of GPU or CPU, control environment, Render Farm management software has also been integrated and available on the cloud platform to operate.

With only 3 simple steps: register an account, choose a pack (the number of Render Nodes for your Render Farm) and remote control to use. That’s easy! The time you use is calculated in seconds, very transparent and simple, you can completely control your own budget.

Which servers are iRender GPURental providing?

Server 3 Specs :
GPU : 1X RTX 3090 24GB vRAM.
CPU: AMD Ryzen Threadripper Pro 3955WX @ 3.90GHz
RAM: 256 GB.
NVMe SSD:  2TB

 

Server 4 Specs :
GPU : 2X RTX 3090 24GB vRAM.
CPU: AMD Ryzen Threadripper Pro 3955WX @ 3.90GHz
RAM: 256 GB.
NVMe SSD:  2TB

Server 5 Specs :
GPU : 4X RTX 3090 24GB vRAM.
CPU: AMD Ryzen Threadripper Pro 3955WX @ 3.90GHz
RAM: 256 GB.
NVMe SSD:  2TB

Server 8 Specs :
GPU : 6X RTX 3090 24GB vRAM.
CPU: AMD Ryzen Threadripper Pro 3955WX @ 3.90GHz
RAM: 256 GB.
NVMe SSD:  2TB

Server 9 Specs :
GPU : 8X RTX 3090 24GB vRAM.
CPU: AMD Ryzen Threadripper Pro 3955WX @ 3.90GHz
RAM: 256 GB.
NVMe SSD:  2TB

* Besides, we provide specialized servers for intensive tasks like AI Inference, AI Training, Deep Learning, VR/AR, and so on, with Turing architecture: 2/4/6/8 x RTX 3090, 24GB vRAM and Pascal architecture: 6/12 x NVIDIA TITAN Xp, 12GB vRam. Or any configuration you specify, please contact us directly to support.

Sincerely, thank you!

Does iRender provide virtualized or physical GPU performance?

We provide 100% of GPU performance on the physical machine, the reason is:

 

  1. Always ensuring a single customer on a physical machine, no virtualization, no sharing of CPU resources, RAM, SDD…, which is safer and more efficient.
  2. Performance always reaches 100%. All resources of a physical machine are yours.
  3. There is no limit on resource intervention, any virtualizer has a resource intervention limit, no virtualization = no limit.
When using the service, if I need special software for rendering such as RedShift, do you support copyright?

We provide the server, what you do with it is up to you. You can purchase additional licenses or simply transfer your existing license to the iRender server as long as your software provider has a licensing tool (for example, Octane and Redshift). You can use the same license on your workstation as well as on iRender servers interchangeably and save it for subsequent use.

 

We also have a special deal on providing Redshift & Octane licenses for Prime customers. Contact us if you are interested.

How long will my working environment settings (Image) be stored on the system?

We understand that it is very important to set up the right working environment for you, including installed software, settings, libraries … So for now, we will store your working environment (Images) for free within 30 days from the date of your last activity on the iRender Farm platform, timeout on the system will automatically review and remove inactive Images. If you have any special requirements, feel free to contact us directly.
Sincere thanks!

How can I move files to servers using SFTP/FTP?

You can transfer files directly to our server by using GpuHub Sync (sFTP/FTP) or popular services (SFTP, FTP) such as CyberDuckFilezilla, cloud services such as Dropbox, Google Drive, One Driver… or by copying directly via RDP. Thanks to our special and unique Data transfer method in the world, your files can be transferred even when the server is turned off, which saves your money. If you have any difficulties, do not hesitate to contact us for assistance.

What exactly are iRender Points (iRP)?

To use iRender GPURental, you need to buy iRender Points (iRP) (One point equals to $1). Remaining iRender Points can be used for your future jobs, as iRender Points will never expire. The minimum payment is 50 iRPs (worth $50) every time you top up your balance.

How do I pay for the render?

You can pay via VISA CARD, CREDITS CARD, Paypal (Pay safe with Paypal money-back guarantee), Onepay, or by direct transfer to the card. Also, we can work through a contract with legal entities and non-cash payments by bank transfer.

 

iRender Support:

Hotline: +(84)123456789
Skype name: iRender Support
Email: support

Where is my invoice ?

By default, iRender generates invoices as soon as receiving your payment. We suggest customers to login and check it in the payment monitoring tab. Additionally, once an invoice is generated, it will be sent to your registered email.

How do I get charged?

The system will automatically charge a fee once your rental servers are turned on. You will be billed for the exact amount of using time in second. (Similar to AWS or Azure uptime calculation). You will be charged until you shut down the rental server, and an invoice will be automatically generated and sent to your registered e-mail.

Would I be eligible for any forms of refunds?

At iRender, we will refund the value of credits directly to your account by iRender Points, in case you are dissatisfied with the service due to some infrastructure errors or any issues we are responsible for. Rendering credit (iRender Points) refunds are considered for each specific case.
We do not have any policy to convert iRender Points into money after you top up the account or get iRender points from our bonus/discount program. You can only spend credits on using iRender Cloud Services.

Why does iRender GPU provide the best low- cost service in the long term for customers?

Because iRender Cloud Services are generated by solar power. In Vietnam, 80% of days in a year are sunny, which is a long-term benefit to maintain the best low-cost price for customers.

 

Mostly the cost for electricity to run a Data Center is generated roughly from 30% to 35%. When we are able to optimize this expense, we are confident to reduce the price or maintain it in the long run, and our customers can utilize it.

We Focus On People And The Joy Of Creativity.

“ChainKloud AI - Happy Rendering”

1.000++

Dual Xeon Servers

1.000++

GPU NVIDIA 3090/3080/2080Ti CARDs

99.99%

Service Availability

24/7

Elite Support

GPU Cloud Pricing for AI/DeepLearning.

(*) We offer professional online GPU dedicated servers for AI Inference, AI Training, Deep Learning, VR/AR… With Ampere GPU Architecture: 1/2/4/6/12 x RTX 3090, 24GB vRAM. Or any configuration you require, please contact directly for service. Sincerely thank you!

AI SERVER 3

1xRTX 3090, 24GB vRAM

$3.8Node/Hour

Choose Plan

MULTI GPU-SLI
1xRTX 3090, 24GB vRAM

NVLink™: N/A

NVIDIA CUDA® Cores: 10.496

GPU Architecture: Ampere, GA102

Dual Xeon E5-2673 v3 (24 cores)

RAM: 128 GB

Storage (NVMe SSD): 512GB

OS: Windows, Ubuntu

Power Elite Support 24/07

Pay per Day (Save 10%)
Only : $13.5 node/hour
Pay per Week (Save 20%)
Only : $12 node/hour

AI SERVER 4

2xRTX 3090, 24GB vRAM

$7.6Node/Hour

Choose Plan

MULTI GPU-SLI
2xRTX 3090, 24 GB vRAM

NVLink™: Request

NVIDIA CUDA® Cores: 2 x 10.496

GPU Architecture: Ampere, GA102

Dual Xeon E5-2673 v3 (24 cores)

RAM: 128 GB

Storage (NVMe SSD): 512GB

OS: Windows, Ubuntu

Power Elite Support 24/07

Pay per Day (Save 10%)
Only : $27 node/hour
Pay per Week (Save 20%)
Only : $34 node/hour

AI SERVER 5

4xRTX 3090, 24GB vRAM

$16Node/Hour

Choose Plan

MULTI GPU-SLI
4xRTX 3090, 24 GB vRAM

NVLink™: Request

NVIDIA CUDA® Cores: 4 x 10.496

GPU Architecture: Ampere, GA102

Dual Xeon E5-2673 v3 (24 cores)

RAM: 128 GB

Storage (NVMe SSD): 512GB

OS: Windows, Ubuntu

Power Elite Support 24/07

Pay per Day (Save 10%)
Only : $37.8 node/hour
Pay per Week (Save 20%)
Only : $33.6 node/hour

AI SERVER 8

6xRTX 3090, 24GB vRAM

$22Node/Hour

Choose Plan

MULTI GPU-SLI
6xRTX 3090, 24 GB vRAM

NVLink™: Request

NVIDIA CUDA® Cores: 6 x 10.496

GPU Architecture: Ampere, GA102

Dual Xeon E5-2673 v3 (24 cores)

RAM: 256 GB

Storage (NVMe SSD): 512GB

OS: Windows, Ubuntu

Power Elite Support 24/07

Pay per Day (Save 10%)
Only : $25.2 node/hour
Pay per Week (Save 20%)
Only : $22.4 node/hour

WE ALL KNOW THAT TALENT IS NEVER ENOUGH BUT DEVOTION IS THE ONLY WAY TO SUCCESS

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