Vikas Agrawal – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-23T02:35:08Z http://www.open-lab.net/blog/feed/ Vikas Agrawal <![CDATA[NVIDIA Video Codec SDK 13.0 Powered by NVIDIA Blackwell]]> http://www.open-lab.net/blog/?p=96377 2025-04-23T02:35:08Z 2025-02-24T22:55:30Z The release of NVIDIA Video Codec SDK 13.0 marks a significant upgrade, adding support for the latest-generation NVIDIA Blackwell GPUs. This version brings a...]]>

The release of NVIDIA Video Codec SDK 13.0 marks a significant upgrade, adding support for the latest-generation NVIDIA Blackwell GPUs. This version brings a wealth of improvements aimed at elevating both video encoding and decoding capabilities. From enhanced compression efficiency to better throughput and encoding quality, SDK 13.0 addresses the ever-evolving demands of the video ecosystem.

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]]> Vikas Agrawal <![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: 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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