How much time will I save with a render farm?

How Much Time Will I Save With A Render Farm

In the film and animation industry, we call the Cluster a "render farm". Many network management technicians like to call "cluster computing systems", and industry insiders prefer to call it "render farm."

render farm

As users have higher and higher requirements for the quality of CG projects, the demand for local machine configuration upgrades is getting higher and higher. At the same time, higher and higher quality CG projects mean that rendering also requires a lot of time. This is especially true for individual users. The higher the quality of the final image, the longer the rendering time, which is also the most time-consuming step in production.

So, how much time can we save if we use an online render farm for rendering project? Will work efficiency be improved?

Toy Story 4

These amazing details of Toy Story 4 also require an amazing amount of rendering to achieve

The first thing to understand is that rendering speed is closely related to the production of files and computer hardware. The larger the file or the more special effects, the slower the rendering will be. Computer hardware can increase speed slightly with files of the same size. Or you can optimize the production file or use some other tools to improve the rendering speed. Pixar used a noise reduction software in Toy Story 4 and cut the rendering time in half.

Take an interior design work as an example. If you want to render a picture with a resolution of 6000X4500, the rendering time of a personal computer is about 6 to 10 hours. If you use an online render farm, you may only need 1 or 2 hours or even less.

And if the computer freezes or errors when rendering for a long time, the previous rendering time may be wasted.

Is render farms much faster than personal computers?

Why is it much faster than a personal computer? After the user uploads the file to the render farm, the system will assign a task to multiple servers to work at the same time. The same configuration of 10 or 100 machines renders at the same time, which is naturally much faster than a computer. So it can be assumed that a 10-second special effects shot takes 10 hours for a local single machine rendering. If 10 machines are used for rendering, then the rendering time becomes 1 / 10th of an hour, which is 1 hour. If 100 machines are used for rendering it can be rendered in less than 10 minutes.

It can call a large number of machines in a short time, and it seems that only the render farm can complete it. So do you now know how much time a render farm can save you? If you still don't know how much time you can try to use our render farm calculator to make a rough estimate, the more accurate method is to use our render farm for submission calculations. Welcome to get a $25 free trial.

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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? 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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. This requires a cluster rendering management software with excellent algorithms for scheduling to exert the performance of each CPU. What are the advantages of using a cloud-based rendering services? 1. Powerful rendering speed Fox Renderfarm is one of the top three render farms in the world with plenty of rendering nodes and flexible solutions, which could definitely save your time in the rendering process. 2. Secure & Confidential Fox Renderfarm has implemented a set of security strategies including banking security level computing center, Uninterruptible Power Supply, 24/7 CCTV monitoring, and strong encryption of data transmission. Fox Renderfarm has successfully completed MPAA’s Content Security Best Practices and officially become a TPN accredited vendor. 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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