![]() ![]() the input stream, shown in blue and red, respectively: Therefore we carried out several more measurements at the maximum possible quality on Nvidia and on Intel in GAcc mode (meaning "GPU Accelerated", which is when the encoding is performed with CPU support instead of relying solely on the GPU), and obtained the following results for Intel HEVC GAcc and Nvidia HEVC vs. This graph tells us that our comparison was not entirely valid, because the maximum possible number of transcoded channels for Nvidia is 14 at almost 2 dB higher quality than that of the 13 Intel channels. The next graph compares quality of Intel and Nvidia HEVC streams with that of the input stream, shown in blue and red, respectively. Let us compare the streams using VMAF metric. We can see from the graph that the resultant stream quality is virtually identical for both solutions. the input stream shown in blue and Nvidia AVC vs. input streamĪnother notable factor to consider is video compression quality-after all, there is no point in having many channels if their quality is not acceptable.Ī quality comparison graph based on the PSNR metric is presented below, with Intel AVC vs. Leaving the calculations aside for a moment, we will now address the issue of quality, as it is much fairer to compare equally acceptable quality rather than the quality obtained in fast modes. For HEVC channels, Nvidia is much more expensive per channel and platform when aiming for the maximum number of channels-that is, when using the fastest encoding algorithms and sacrificing quality. It turns out that there is no difference in price, and hence the 2x performance advantage of Nvidia is completely offset by the price of one platform. Now that we know the maximum possible number of FHD (1920x1080) channels per server configured with integrated Intel graphics or the Nvidia video card, we can calculate the price per FHD channel from the known server prices. In this comparison, Nvidia has twice the performance of Intel at AVC transcoding and is almost as fast at HEVC transcoding. Transcoding AVC FHD 10 Mbps to HEVC FHD 5 Mbps 30 fps Transcoding AVC FHD 10 Mbps to AVC FHD 8 Mbps 30 fps These are results of a load test for the maximum possible number of transcoded channels (in the "fastest" mode). ![]() Maximum possible number of transcoded channels Integrated graphics Intel® UHD Graphics P630Ģ х 8 GB (dual-channel support is important) ![]() ![]() Let us now specify the platforms with the chosen graphics solutions. We have excluded older video card versions because they are guaranteed to lag in HEVC coding performance due to the missing B-frame coding capability. It is indeed possible to remove this limitation by installing a patch created by ingenious types on the internet, but, as we noted earlier, we will only consider a stable, proven, official solution. Our pick is Quadro RTX 4000 (8GB) which is a server counterpart for GeForce RTX 2070 Super (8GB) but, unlike RTX, it does not officially limit concurrent processing to 3 streams. With Nvidia, things are a little bit more complicated. With Intel, it is simple: we will just take one of the latest-generation Xeon Coffee Lake CPUs, Intel® Xeon® E-2246G processor, with an integrated Intel® UHD Graphics P630 GPU. We are only going to consider stable solutions that are capable of operating 24/7-this is a must in TV broadcasting. It is interesting to note that while technically being competitors in the field of video coding, both companies have been growing in parallel and even collaborating in the production of new chips.įirst, we have to decide what graphics hardware we are going to compare. This article discusses the main advantages and drawbacks of these solutions, using Intel’s QuickSync and Nvidia’s NVENC as examples. It can be fairly expensive to run it on the CPU, especially with the growth of OTT broadcasting, where there are multiple profiles per channel. Тranscoding video is a very resource-intensive task. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |