FrameGraph - Radically reducing the time and cost of processing video media content to empower remote working

近年来，数字视频内容的容量和文件大小呈指数级增长。这是由于在线数字分发技术的进步以及视频分辨率的不断提高（从目前的高清标准到4K，8K即将到来）。目前，媒体内容主要由一台计算机处理每个文件。传统上，组织依赖不断提高的CPU速度来满足其吞吐量需求，这种每年的增长现在几乎已经结束，因为这些改进由于单台机器的物理限制而带来的回报正在减少。显然，需要一种替代方法。FrameGraph解决了这个问题。FrameGraph使视频媒体内容的处理速度和效率比目前市场上的任何产品都要快。它通过将文件分成块来实现这一点，这些块在多台机器上同时处理。这个过程可以在内部现有硬件上、云中或混合解决方案中进行。为了说明这一点，FrameGraph可以在几分钟内处理一个小时的高清媒体（它可以在现有网络上做到这一点，而不会产生额外的计算成本）。最重要的是，在当前的环境下，它大大加速了远程工作，因为将媒体内容摄取到可以编辑的文件格式的时间大大减少了。

In recent years there has been an exponential increase in the volume and file size of digital video content. This has been driven by advances in technology enabling online digital distribution, and growing video resolutions (from the current standard of HD, towards 4K, with 8K around the corner).Currently, media content is predominantly processed by a single computer, per file. Traditionally organisations have relied upon ever increasing CPU speeds to address their throughput requirements, this yearly increase has now almost come to an end, as these improvements are providing diminishing returns due to the physical limitations of a single machine.Clearly an alternative way forward is required. FrameGraph turns this problem on its head.FrameGraph enables video media content to be processed faster and more efficiently than any product currently on the market. It does this by dividing files into chunks, which are simultaneously processed across multiple machines. This process can take place in-house on existing hardware, in the cloud, or in hybrid solutions. To put this into context, FrameGraph can process an hour of HD media in just minutes (it can potentially do this on your existing network, without incurring additional compute costs). Thus providing both significant cost and time savings.Most significantly in the current climate it turbocharges remote working, as the time to ingest media content into a file format where it can be edited is significantly reduced.