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Pain Points
Huge amount of assets
When a user's project has too many assets, it will take a lot of time to transfer a large number of assets to the cloud before rendering is officially started.
Low configuration PC
The configuration of the submission machine is not powerful enough to meet the rendering environment required, especially when project creation and submission are completed by different people.
Time-consuming analysis
For projects with a large number of files, the analysis time of each file can be really time-consuming, and task cannot be submitted for rendering before the analysis is completed.
Scenario Overview
XCloud Disk is an auxiliary tool to help users complete rendering projects more conveniently. Users can upload huge project assets to cloud storage through XCloud Disk in advance before the project officially starts rendering. After the project is completed, users can submit renderings directly within the XCloud Disk client without repeatedly uploading assets.
Implemantation Steps
Pay a visit to XRender official website (www.xrender.cloud) and register an account for your project/team.
Download the XRender client from our product page (PRODUCT – CLOUD RENDERING), and install it in your workstation.
Log in to XCloud Disk, drag and drop your project assets directly to the XCloud Disk client for uploading.
When the project is completed, select the files that need to be rendered in XCloud Disk and submit them to XRender for cloud rendering.
Scenario Advantages
Higher transmission efficiency
Uploading project assets to the cloud in advance is conducive to more reasonable planning of each phase of the project, and reduces the transmission waiting time in the rendering phase.
Save analysis time
By submitting tasks through XCloud Disk, you can directly skip the analysis step, avoiding a lot of waiting for analysis and free up more time for rendering.
Lower configuration requirements
When submitting tasks via XCloud Disk, there's no need to configure the rendering environment on the local workstation, which greatly reduces the hardware requirements for the submission machine.
