![]() To achieve the best performance, the amount of memory in the machine must match or exceed the amount of RAM available on the GPU(s). The number and size of concurrent tasks that you can run on the GPU is constrained by the amount of memory available on the graphics card. Media Server has been tested with NVIDIA Quadro K6000, Quadro M6000, and Tesla K80 graphics cards. ![]() Tegra series cards are not supported, but you can request support by contacting Micro Focus. GeForce GTX series cards that meet this requirement are supported, but only with headless Linux operating systems. All Quadro and Tesla series cards that meet this requirement are supported. To accelerate processing by using a GPU, your system must have a NVIDIA graphics card with CUDA compute capability version 3.0 to 6.1 (Kepler, Maxwell, and Pascal micro-architecture). Using a GPU rather than the CPU can significantly increase the speed of training and analysis tasks that use Convolutional Neural Networks. Media Server can use a graphics card (GPU) to perform some processing tasks. Open topic with navigation Enable GPU Acceleration
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