![]() ![]() Fortunately we are not at the forefront of figuring out distributed rendering and complex job management. We are at the forefront using photo realistic rendering to help sell furniture and home decor. In order to continue to scale we started evaluating other render management systems. ![]() We didn’t find a magic solution to this instability, so we worked around it by automatically retrying renders that failed up to four times, assuming that if it didn’t work after that, there was actually something wrong with the model. We began to notice that renders frequently failed, but when we retried them, most succeeded. Though Backburner helped prepare us to scale up the throughput on our platform, it wasn’t a perfect solution. CPU Utilization with Backburner: our farm nodes were kept nearer to 100% utilization
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