Search results
Results from the WOW.Com Content Network
The feature was first unveiled during CES 2023 as RTX Video Super Resolution. [3] The feature uses the on-board Tensor Cores to upscale browser video content in real time. [ 4 ] The feature is currently only available on RTX 30 and 40 series gpus with support for 20 series gpus coming in the future. [ 5 ]
nVidia introduced the Video Processing Engine or VPE with the GeForce 4 MX. It is a feature of nVidia's GeForce graphics processor line that offers dedicated hardware to offload parts of the MPEG2 decoding and encoding. The GeForce Go FX 5700 rolled out the VPE 3.0. The VPE later developed into nVidia's PureVideo.
Nvidia GRID is a family of graphics processing units (GPUs) made by Nvidia, introduced in 2008, that is targeted specifically towards cloud gaming. [1] The Nvidia GRID includes both graphics processing and video encoding into a single device which is able to decrease the input to display latency of cloud based video game streaming . [ 2 ]
Nvidia VDPAU Feature Sets [18] are different hardware generations of Nvidia GPU's supporting different levels of hardware decoding capabilities. For feature sets A, B and C, the maximum video width and height are 2048 pixels , minimum width and height 48 pixels, and all codecs are currently limited to a maximum of 8192 macroblocks (8190 for VC ...
The GeForce 6 series (codename NV40) is the sixth generation of Nvidia's GeForce line of graphics processing units.Launched on April 14, 2004, the GeForce 6 family introduced PureVideo post-processing for video, SLI technology, and Shader Model 3.0 support (compliant with Microsoft DirectX 9.0c specification and OpenGL 2.0).
Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.
The problem is simple: If you want to train a large language model, like ChatGPT or Meta’s Llama 2, you need the processing power to do it, and that processing power comes from their graphics chips.
The Videocore GPU runs an RTOS which handles the processing; video acceleration is done with RTOS firmware coded for its proprietary GPU, and the firmware was not open-sourced on that date. [92] Since there was neither a toolchain targeting the proprietary GPU nor a documented instruction set , no advantage could be taken if the firmware source ...