Before rendering your project with iRender Remote Render Farm, you just need to create an image, boot system, then control remotely on the Master Node for the setup. Uploading files in parallel will help you save time effectively.
By allowing users to access iRender’s server system to use the performance of not only one but also many highly configurable computers, iRender Remote Render Farm can completely meet the great demand for computer performance. With only a regular personal computer, you can still solve complex tasks and meet the work requirements.
In the world of computer graphics, over the past few years, new technologies have been increasingly developed. Thanks to GPU computing, complex graphics-related workloads such as processing 4K high-end movies, or simulating 3D graphic blocks have been solving and expanding new horizons in 3D production. GPU plays an important role in processing AI, big data or other GPU intensive tasks.
2020 is a pivotal year marking iRender’s development. We have officially launched GPURental – Cloud GPU & CPU rental server services – an IAAS (Infrastructure As A Service). The event marked the birth of a problem-solving that has been developed and improved for nearly one year thanks to customers’ feedback, who are looking for a GPU rendering solution that could skip the common technical pitfalls in the rendering process.
Upon further investigation of the business, I realized the main reasons for using those methods for transferring files at many Render Farms because of their technology and infrastructure which were not adequate to move large files up to Terabyte stably, they have no option but to use services from 3rd-party providers.