Optimizing Video Memory Usage with the NVDECODE API and NVIDIA Video Codec SDK – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Abhijit Patait <![CDATA[Optimizing Video Memory Usage with the NVDECODE API and NVIDIA Video Codec SDK]]> http://www.open-lab.net/blog/?p=19584 2022-09-15T19:30:47Z 2020-08-14T23:35:49Z The NVIDIA Video Codec SDK consists of GPU hardware-accelerated APIs for the following tasks: Video encoding, with the NVENCODE APIVideo decoding, with NVDECODE...]]> The NVIDIA Video Codec SDK consists of GPU hardware-accelerated APIs for the following tasks: Video encoding, with the NVENCODE APIVideo decoding, with NVDECODE...

The NVIDIA Video Codec SDK consists of GPU hardware-accelerated APIs for the following tasks: While writing an application using the NVDECODE or NVENCODE APIs, it is crucial to use video memory in an efficient way. If an application uses multiple decoders or encoder instances in parallel, it��s even more crucial because the application can get bottlenecked by video memory availability.

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