How to use online render farms?

How-to-use-online-render-farms

How to use online render farms? To use an online render farm is very useful for your project, will shorten your rendering time and accelerate your rendering speed. You no need to update your local machine with high hardware configuration, sometimes these will cost a lot of money. During the rendering, if you use your local machine, you can’t do any other things, because your computer is occupied. When using an online render farm to render your job, you can leave it alone, and use your computer to do what the other things you want.

The most important advantage to use a renderfarm is that maybe you render the project in your own machine needs more than two days, a week, even more than one month. When using an online render farm, it is just a coffee time, even one-month render project sometimes only 5 minutes to finish in some situation. So, how to use online render farms? Let’s take Fox Renderfarm as an example.

Account registration

Visit our official website https://www.foxrenderfarm.com, and click the “Register” button on the top and right side of the page.

account-registration-v1-001

Please input your registration information according to the form, and then, finish the next step. When you see this page as follow, registration successful! You’ve got a $20 coupon already after you select your rendering software, then you can get another $5 coupon, there are $25 coupons in total at your account.

account-registration-v1-005

Web submit tutorial

  1. Click “Assets” in the left side to upload assets, and follow the prompts to install the transfer, then upload the file.

How to use online render farms - Step one

  1. Click “New Job”, to select a scene file, add a software config, and submit the job to the Analysis list.

    How to use online render farms - Step two

  2. Click “Analysis”. After the scene analysis is complete, set the rendering parameters and submit them to the Render list.

How to use online render farms - Step three

  1. Click “Render”. Download the image or video after the rendering is complete.

How to use online render farms - Step four

Fox Renderfarm supports two ways to download and upload, render your project, besides via the web, you can also download via the desktop client to submit the job. If you do not need to modify the parameters during the submission process, you can turn off “Enable scene parameters modification”.

How to use online render farms - Step five How to use online render farms - Step five How to use online render farms - Step six

How to use a render farm? It is so easy to use it, why don’t you experience it by yourself now.

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What is cloud-based rendering?
What is cloud-based rendering?
With the development of cloud computing, cloud-based rendering has come out in the CG industry. What is cloud-based rendering? Cloud-based rendering, aka cloud rendering, is a cloud service that relies on cloud computing, also you can call it an online render farm. That means users submit a local file to a cloud server, then a remote computer cluster completes the rendering. Finally, users shall download the rendered task from the cloud server. Cloud-based rendering refers to the technology that transfers the 2D or 3D graphics rendering from the client to the cloud server, the application of cloud rendering can greatly simplify the client. That’s to say, with display and network access functions, users can enjoy top-level graphics processing capabilities, which will make the same graphics application appear on different terminal devices without distinction. What difficulties does cloud rendering face? The difficulties faced by cloud rendering are more complex than conventional cloud computing applications. This is mainly due to the demanding requirements of 3D rendering for hardware performance and command response. The cloud rendering system may face the rendering requests of thousands of users, which will be huge pressure on the back-end server system. Compared with conventional cloud computing applications, when cloud-based rendering meets the needs of the same number of users, the hardware performance needs at least several tens of times higher than that of cloud computing, such as Gmail, Google Docs, and other commercial applications to scientific computing. Cloud rendering requires servers with amazing graphics performance, otherwise, it cannot meet the simultaneous rendering requests of a large number of users. 1. Efficient data transmission or synchronization capabilities 2. Efficient and accurate matching between the cloud computing environment and the user's local CG production environment 3. Network and storage. Cloud rendering needs to connect to mass storage to save the rendered digital content products. Rendering 1 hour of HD sequence requires about 1TB of storage resources. When all rendering servers output data to the central storage at the same time, network planning becomes a yardstick to measure the final performance of the cluster system. 4. Efficient, stable, and reasonable task distribution management tool. No matter how strong a single rendering node is, it will also cause a waste of resources without good management. Rendering management does not simply the arrangement of render machines. Qualified rendering management solutions embrace a well-designed system architecture. Different technical indicators need different solutions. It can be said that the hardware selection and construction only completed 20% of the overall construction of the render farm and 50% of the effort needed to plan the rendering investment. 5. Cluster computing has a problem of efficiency. The number of CPUs and rendering time will be different from the actual situation, and the actual time used by different systems is not the same. The larger the number of CPUs, the shorter the rendering time, and they are inversely proportional. But in fact, the time spent on animation rendering and the number of CPUs is not linearly inversely proportional. The key to the problem lies in communication and software algorithms, including network communication and communication between the PC's internal CPU, memory, and hard disk. How many node computers, based on the number of CPUs, are used in the system are also issues that need to be considered. 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We are committed to building a more secure cloud render farm that better protects the privacy of the project of our beloved customers. 3. 24/7 Customer Service and Technical Support Fox Renderfarm has an outstanding team with over 20 years’ experience in the CG industry. Around the clock customer service and technical support could always be a lifesaver if users met any problem when rendering. We also provide customized rendering services and a Key Account service team, which aims to provide the best cloud rendering solutions and technical support for our dear customers. 4. Affordable pricing Fox Renderfarm offers students, teachers, and educational institutions an affordable pricing scheme (Diamond level membership) to support educational purposes. We support flexible solutions with the best price for clients by lowering the cost from our end. 5. Easy to Use Fox Renderfarm has both webpage version and desktop client version, which are user-friendly, such as drag and drops project submission, preview during rendering, etc. The UI and pipeline are optimized continuously according to users' habits of the animation industry, which are easy to use. We also provide free services of Raysync Cloud for our users in the rendering process, which is a cloud-based platform for data storage and transferring at a high speed. 6. CSR: Green Data Center The electricity of Fox Renderfarm's green data center is all generated by wind and water power which is natural & clean. The data center is located where the climate is dry and the temperature is extremely low all year round, so it's not necessary to use air conditioners for cooling most times. The average PUE of our data center is under 1.2 which means the energy-saving ability is highly effective. Every time you use Fox Renderfarm for rendering, you are making contributions to the reduction of carbon dioxide emissions.
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