Google displacing Intel with its own chips

Stefan Mileschin · 7th June 2021, 07:15

Google has designed its own Argos video transcoding units (VCU), that have one solitary purpose: processing video and will use them to replace tens of millions of Chipzilla CPUs with its silicon.

According to Tom’s Hardware Intel's video decoding/encoding engines that come built into its CPUs have dominated the market both because they offered leading-edge performance and capabilities and because they were easy to use.

However custom-built application-specific integrated circuits (ASICs) tend to outperform general-purpose hardware because they are designed for one workload only. As such, Google turned to develop its own specialised hardware for video processing tasks for YouTube.

Google had two options for transcoding/encoding content. The first option was Intel's Visual Computing Accelerator (VCA) that packed three Xeon E3 CPUs with built-in Iris Pro P6300/P580 GT4e integrated graphics cores with leading-edge hardware encoders. The second option was to use software encoding and general-purpose Intel Xeon processors.

https://fudzilla.com/news/pc-hardwar...-its-own-chips

7th June 2021, 07:15	#1
Stefan Mileschin [M] Reviewer Join Date: May 2010 Location: Romania Posts: 148,843	Google displacing Intel with its own chips Google has designed its own Argos video transcoding units (VCU), that have one solitary purpose: processing video and will use them to replace tens of millions of Chipzilla CPUs with its silicon. According to Tom’s Hardware Intel's video decoding/encoding engines that come built into its CPUs have dominated the market both because they offered leading-edge performance and capabilities and because they were easy to use. However custom-built application-specific integrated circuits (ASICs) tend to outperform general-purpose hardware because they are designed for one workload only. As such, Google turned to develop its own specialised hardware for video processing tasks for YouTube. Google had two options for transcoding/encoding content. The first option was Intel's Visual Computing Accelerator (VCA) that packed three Xeon E3 CPUs with built-in Iris Pro P6300/P580 GT4e integrated graphics cores with leading-edge hardware encoders. The second option was to use software encoding and general-purpose Intel Xeon processors. https://fudzilla.com/news/pc-hardwar...-its-own-chips

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