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You know that Google has more money than could ever spend when it invests in a custom chip to do a job. And now they have done it for the third time.
The search giggent has developed a new chip and used in its data centers to compress the video content. The chips called as video (trans) coding units or VCUs make the faster and more efficient than traditional CPUs.
In a blog post that discusses the project, Jeff Calow, a lead-software engineer on Google, the VCU, which offers the highest YouTube video quality on your device while consuming less bandwidth than before.
"An important thing to understand is that the video is created and uploaded in a single format, but ultimately consumed on different devices - from your phone to your TV-at different resolutions," he wrote.
Some spectators pour at home on a 4K TV and others on their phone. The infrastructure team's job is to get these videos ready by sending the smallest amount of data to your selected device with the highest quality video.
"But it is costly and slowly, and thus the processing with regular computers is" brained "(CPUs called) is quite inefficient, especially if you add more and more videos," he wrote. Google claims that the VCU 20 to 33 experts is entitled to be the previous optimized system of Google, which ran on traditional x86 servers.
The project has been in the works since 2015. YouTube saw consumers who want a high-quality video, but had to go on more efficient video codecs to do so. The VP9 codec fits into the bill, but requires five times more authorization resources than the older H.264 codec, Callow said. The VCU supports both and the next generation VCU supports AV1, an advanced codec with even higher resolution than VC9.
"A dedicated, hard-wired processor will always be the fastest. Transcoding is one of these processes that does not change much, so a programmable device is not required," said Jon Peddie, President of Jon Peddie Research, who Graphic market follows.
He undoubtedly developers can use it as they do with Google (TPU) Tensor processing unit for AI. "I do not know, but I would say that it was made by YouTube for YouTube and only YouTube. The support and documentation questions would not be worth it, and it would only armize a competitor," he said.
Well, enjoy these pretty 4K YouTube videos. And for those stored, the VCU is the third user-defined data center chip Google. Before this came the Tensor processing unit (TPU) for AI workloads and the titanium chip for safety.
Andy Patrizio is a freelance journalist based in Southern California, which has covered the computer industry for 20 years and built every X86 PC, which he ever belonged to laptops not included.