Optimized cloud streaming for NVIDIA GPUs

Prathap Muthana, Eyal Frishman and Robert Jensen from NVIDIA have just published a blog post on NVIDIA’s ‘Technical Blog’ page.  In it they review the new video creation and streaming features accelerated by the NVIDIA video codec SDK.

Here is the first paragraph and a link to the original post:

For over a decade, NVIDIA GPUs have been built with dedicated encoders and decoders called NVENC and NVDEC. They have a highly parallelized architecture, support popular codec formats, and provide direct access to GPU memory for optimized encode and decode operations.

GPU-accelerated video means offloading your video processing to NVENCs and NVDECs, reducing CPU cycles and harnessing the more optimized hardware units. To enable GPU acceleration, NVIDIA offers the Video Codec SDK: a rich API that enables high-performance encoding and decoding.

Last year, NVIDIA introduced the Ada Lovelace architecture, with the new eighth-generation NVENC. The Video Codec SDK was updated to support AV1 encode on NVIDIA Ada Lovelace, and split encoding to harness the power of multiple NVENCs simultaneously.

Video Codec SDK 12.1 is the newest release, available now. This post highlights new features supported in version 12.1, and how they’re being used to enhance video processing use cases like content creation and streaming on NVIDIA GPUs.

Full text here: