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A: Video encoding latency consists of two components: a Latency due to encoding algorithm e. B-frames, look-ahead, VBV buffering , and b Latency due to the processing required to encode the bits using hardware or software. For a typical end-to-end streaming scenario to incur low latency, it is important to lower both components as much as possible.

In Video SDK Latency contributed by b can be minimized by choosing the correct preset, and rate control mode with correct number of rate control passes. Naturally, 2-pass requires more time to encode than 1-pass rate control mode. Running quarter-resolution first pass requires less time than running both passes at full resolution.

In addition to the above, the overall encoding latency is also affected by efficient application design or lack thereof. The specifics of this depend on the workload, but should be analyzed using a tool such as GPUView available as a part of Windows Performance Toolkit.

User can run these applications for measuring maximum throughput. As anyone familiar with video encoding will know, talking about video encoding performance without any reference to encoding quality is meaningless. For example, one can encode a video at blazing fast speed, without any regard to quality and claim extremely high performance, doubling the performance on GPUs with multiple NVENC engines. But such usage may not be of much use in practical situations.

Therefore, it is important to think of encoding performance at a specific quality. NVIDIA encoding benchmarks use the bitrate savings compared with open source encoders x and x's medium preset output, as a measure of the encoding quality. The performance vs. This requires the application to choose appropriate encoding settings, depending upon the GPU in use. In short, despite the reduction of number of NVENCs from Pascal to Turing, one should be able to achieve equivalent encoding performance per GPU, in most practical use cases by adjusting the encoding settings to normalize the encoding quality.

Depending on the maximum API version supported by driver, the application can launch code at runtime compiled with the appropriate API. For encoder, the answer depends on many factors, some of which include: GPU in use and its clock speed, settings used for encoding i.

It is especially important to note that GPU encoding performance is always tied to the encoding quality, and the performance can vary greatly depending upon the chosen settings. Our carrier-grade server solutions help business clients capture, process, transcode, archive, and deliver video to millions of subscribers.

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