Most common image, video and audio formats are supported. Below you will find a list of the supported codecs and media formats. However, please note that while we aim to provide near-universal support for all formats and features, there are always quirks and features which might prevent one codec performing a function which works with every other codec. Workflows processing can be easily distributed between several computers by using “Watch folder” tasks or other communication tools.Media Pocket supports a vast range of common codecs and media formats. For this reason, in general, it may be better to use two computers with good, but not necessarily top of the range specs rather than one only computer with top specs. At the highest end, a typical figure might be to pay up to 100% more for just 20% more speed, compared with cost-efficient hardware in the sweet spot. Regarding cost eficiency, in general the highest end models of CPUs and GPUs offer only a little more speed than marginally inferior models, but often cost much more. Mistika Workflows is not multiGPU, so extra speed is cannot be expected by having two or more GPUs. Storage and network bandwidth: Uncompressed formats do not require significant GPU or CPU, but they do need a great deal of disk speed and fast networks! If you want to take advantage of the NVidia transcoder we recommend a Pascal generation or later NVidia model, as older models can not be used for hardware encoding or only at low resolutions (For more details see NVIDIA VIDEO CODEC SDK).ĬPU based tasks of common usage: Apple ProRes. CPUs: The processes that are carried out by CPUs are the decoding of input codecs and encoding of rendered codecs, but there are important exceptions that use the GPU as said. A modern NVidia board (GeForce or Quadro) with high specs is recommended. GPU: Part of the Mistika Workflows's processing is carried out by the GPU: Geometry adjustments, Color adjustments, NVidia encoder, etc., so this is an important component. However this document is intended for the first version of Mistika Workflows, and we expect to add official support for more linux distributions in forthcoming versions.Į xtended recommendations for selecting optimal hardware: (You may need to solve package dependencies, daemon differences and typical linux issues.). Other distributions may also work, but the installation process can be complicated and they are currently unsupported. An automatic installer is provided for CentOS 7.4 and compatible distributions. (Note: Operating system versions prior to macOS Sierra and computers older than 2013 are known to crash the application). Mac: Sierra, High Sierra, Mojave, Catalina and Big Sur Please note that many Mistika Workflows tasks are image processing oriented, and for this reason Mistika Workflows requires a discreet GPU installed. However, modern AMD boards and some Intel graphic boards are also working without presenting problems at the time of writing this document (except for not supporting GPU based codecs as said). Graphics card model: NVIDIA is recommended as it is the certified manufacturer for Mistika Workflows. Display resolution: A minimum of 1920x1080 is recommended for the GUI. Minimum Configuration Required for Mistika Workflows: We recommend using the OS Task Manager or similar tools to discover where hardware bottlenecks exist for your particular case. Arri raw decoding is supported both by NVidia and AMD. The decoding of R3D files and the encoding of H264/h265 can be done by GPU on Wndows & Linux, when having an NVidia GPU. Specifically, at the date of this document: In some particular cases the GPU can be used instead, which is much faster. ): In general these formats depend mainly on the system's CPU Transcoding uncompressed formats (such as DPX, EXR uncompressed, or Tiff16): use storage devices which are as fast as possible, and if possible work with local intermediate copies rather than cloud storage directly.Ĭompressed formats (such as EXR compressed, H264/H265, j2k, XAVC, Apple ProRes. But when transcoding complicated formats at high resolutions 32GB are recommended, or even more RAM if the server has many cores and you plan to run more processes in parallel. RAM: 8GB is the minimum recommended for general purpose. The following are the important considerations: Mistika Workflows is designed to run on even the smallest computers, but depending on the usage it may also use all the resources available to it (especially when used for heavy transcoding). Modified on: Wed, 19 May, 2021 at 2:39 PM
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