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Jellyfin is a free and open-source media server and suite of multimedia applications designed to organize, manage, and share digital media files to networked devices. Jellyfin consists of a server application installed on a machine running Microsoft Windows, macOS, Linux or in a Docker container, [2] and another application running on a client device such as a smartphone, tablet, smart TV ...
The maximum NVENC HEVC coding tree unit (CU) size is 32 (the HEVC standard allows a maximum of 64), and its minimum CU size is 8. HEVC encoding also lacks Sample Adaptive Offset (SAO). Adaptive quantization, look-ahead rate control, adaptive B-frames (H.264 only) and adaptive GOP features were added with the release of Nvidia Video Codec SDK 7 ...
Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later Nvidia GPUs.
Jellyfin Licensing This work is free software ; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation ; either version 2 of the License, or any later version.
BubbleUPnP can play media from the local device itself, standalone UPnP/DLNA media servers (such as Kodi and Jellyfin) or those running on a NAS (including Synology, Western Digital and QNAP), local network SMB server shares (Windows and Mac), cloud storage services (such as Dropbox), WebDAV servers, and various third-party Android media and music apps.
The Infinity Cache capacity was decreased due to RDNA 3 having wider a memory interface up to 384-bit whereas RDNA 2 used memory interfaces up to 256-bit. RDNA 3 having a wider 384-bit memory means that its cache hitrate does not have to be as high to still avoid bandwidth bottlenecks as there is higher memory bandwidth. [ 20 ]
The GPU having quick access to a high amount of L2 cache benefits complex operations like ray tracing compared to the GPU seeking data from the GDDR video memory which is slower. Relying less on accessing memory for storing important and frequently accessed data means that a narrower memory bus width can be used in tandem with a large L2 cache.
An example of vainfo output, showing supported video codecs for VA-API acceleration. The main motivation for VA-API is to enable hardware-accelerated video decode at various entry-points (VLD, IDCT, motion compensation, deblocking [5]) for the prevailing coding standards today (MPEG-2, MPEG-4 ASP/H.263, MPEG-4 AVC/H.264, H.265/HEVC, and VC-1/WMV3).