According to Phoronix, (opens in new tab) Google has unveiled a new AOM-AV1 update – variation 3.5, that significantly increases encode instances when streaming, rendering, or recording from the CPU. At its best, the update can make improvements to encoding instances by up to 34{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397}.
It is a great addition to AV1’s capabilities, with the encoder becoming extremely common amid effective video clip platforms this kind of as YouTube. In addition, we are also observing significant assist for AV1 hardware acceleration on fashionable discrete GPUs now, these kinds of as Intel’s Arc Alchemist GPUs and, most importantly – Nvidia’s RTX 40-sequence GPUs.
Based on the resolution, encoding occasions with the new update have improved by 20{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397} to 30{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397}. For case in point, at 1080P, encode moments that includes 16 threads of processing are reduced by 18{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397} to 34{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397}. At 4K, render instances enhanced by 18{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397} to 20{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397} with 32 threads. Google could do this by including Body Parallel Encoding to seriously multi-threaded configurations. Google has also additional quite a few other enhancements contributing to AV1’s effectiveness uplifts in other spots – exclusively in authentic-time encoding.
In other words and phrases, CPU utilization in applications these as OBS has been lowered, mainly for systems packing 16 CPU threads. As a end result, they are allowing for end users to use those CPU resources for other duties or boost video clip top quality even better without any extra effectiveness charge. If you are online video enhancing and are rendering out a video clip in AV1, processing instances will be vastly diminished if you have a CPU with 16 threads or far more.
AV1’s General performance Advancements Arrive At The Great Time
AV1’s velocity enhancements could not have come at a improved time. The video clip industry is aggressively going to AV1 extra than at any time this calendar year, thanks to the introduction of AV1 components acceleration engines and permitting material creators to use discrete GPUs to document and stream content with the AV1 codec.
AV1 came on the scene in 2018 as a newer likely different to the H.264 video clip codec. It has grow to be a mainstream item thanks to its pretty desirable element set for one, it is fully open-source, enabling any individual to use it for cost-free. It gives up to 50{2c093b5d81185d1561e39fad83afc6c9d2e12fb4cca7fd1d7fb448d4d1554397} higher compression ratios than H.264. In addition, it is drastically cutting down AV1 video clip file measurements.
This year we noticed our initially AV1 components acceleration engine in the Intel Arc A-sequence GPUs, supplying drastic movie high quality enhancements around its opponents, together with Nvidia’s legendary NVENC H.264 encoder. But now, Nvidia has lastly entered the video game with its RTX 40-collection GPUs supporting AV1 encoding for the first time – thanks to the brand-new 8th generation NVENC motor.
It sets up the phase for AV1 to turn into a complete substitute for H.264, now that we have AV1 encoding present in equally discrete GPUs and by means of software package encoding on the CPU, which will make AV1 encoding incredibly obtainable to the community. The new AV1 general performance update is just the cherry on prime and will give increased adaptability for consumers jogging the AV1 codec on reside streams and in just movie editors.