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Because the GPU has access to every draw operation, it can analyze data in these forms quickly, whereas a CPU must poll every pixel or data element much more slowly, as the speed of access between a CPU and its larger pool of random-access memory (or in an even worse case, a hard drive) is slower than GPUs and video cards, which typically ...
OBS Studio (also Open Broadcaster Software or OBS, for short) [8] is a free and open-source, cross-platform screencasting and streaming app. It is available for ...
Nvidia Optimus is a computer GPU switching technology created by Nvidia which, depending on the resource load generated by client software applications, will seamlessly switch between two graphics adapters within a computer system in order to provide either maximum performance or minimum power draw from the system's graphics rendering hardware.
GPU Hardware H.264 (AVC) (In H.264, NVENC always has B Frame support, max 4096x4096 resolution, and max 8-bit depth) H.265 (HEVC) AV1; NVENC Generation GPU Code Name NVENC per Chip Chroma Lossless Coding Chroma Lossless Coding Resolution Color Depth B Frames AV1 4:2:0 4:4:4 4:2:0 4:4:4 1st Gen GK110 1 H.265 not supported AV1 not supported GK107 ...
A modern consumer graphics card: A Radeon RX 6900 XT from AMD. A graphics card (also called a video card, display card, graphics accelerator, graphics adapter, VGA card/VGA, video adapter, display adapter, or colloquially GPU) is a computer expansion card that generates a feed of graphics output to a display device such as a monitor.
Copying between host and device memory may incur a performance hit due to system bus bandwidth and latency (this can be partly alleviated with asynchronous memory transfers, handled by the GPU's DMA engine). Threads should be running in groups of at least 32 for best performance, with total number of threads numbering in the thousands.
IGPs use system memory with bandwidth up to a current maximum of 128 GB/s, whereas a discrete graphics card may have a bandwidth of more than 1000 GB/s between its VRAM and GPU core. This memory bus bandwidth can limit the performance of the GPU, though multi-channel memory can mitigate this deficiency. [86]
A memory leak can cause an increase in memory usage and performance run-time, and can negatively impact the user experience. [4] Eventually, in the worst case, too much of the available memory may become allocated and all or part of the system or device stops working correctly, the application fails, or the system slows down vastly due to ...