NVENC introduced in 2012 is one of the key features of NVIDIA's Video Codec SDK. NVIDIA CUDA GPU acceleration performance 2. The fastest CUDA-based video converter, MacX Video Converter Pro transcodes 3846x2160 4K video with up to 150fps on iMac of 2013 (16G 1600MHz memory, and NVIDIA GeForce GT755M 1GB graphics). GPU: NVIDIA Tesla K80 and P100 (SXM2), Base locks, cube mesh topology (DGX-1)ĬUDA 8 GA with r361.79 (K80) and r361.96 (P100)ĬPU: Intel Xeon Broadwell dual socket 22-core with Ubuntu 14.04.3x86-64 and 256GB Memory. Performance can be influenced by the computer system, applications versions etc.

Below is the test result from NVIDIA CUDA official report. Here's a full list of CUDA GPUs.ĬUDA applications on NVIDIA GPUs deliver 2X to 5X faster performance acceleration than CPUs. Supported GPU: NVIDIA GeForce, Quadro, Tesla GPUs, and NVIDIA GRID solutions. Operating system support: Windows (10, 801, 7), Mac (10.12), Linux There are thousands of CUDA GPU accelerated applications, ranging from Adobe's Premiere Pro to Apple's Final Cut Pro. CUDA-enabled products cover CUDA Toolkit, CUDA C/C++ programming language, and more. However, power consumption is increased if we use high-speed CUDA cores to process video encoding. CUDA is used to deliver the merits of GPU acceleration and thus computing performance is dramatically improved. CUDAĬUDA® was introduced in 2006 as a computing platform and programming. NVCUVENC for older video cards and drivers is deprecated and replaced by NVENC. AMD GPU accelerated video converter Video Encoding and Decoding with NVIDIA Hardware AccelerationĬUDA, NVENC, and NVDEC are the main technologies used by NVIDIA GPU. Open source multimedia manipulation tool FFmpeg used by VLC Player and Plex Media Server is also intergraded with NVIDIA GPU hardware accelerated video processing. And most popular multimedia video processing applications that support both NVIDIA CUDA and NVENC acceleration include Adobe Premiere Pro, Adobe Media Encode, Photoshop, Autodesk 3ds Max, Media Composer, MacX Video Converter Pro, Final Cut Pro, and more. Click GPU acceleration vs CPU acceleration to get a better understanding of GPU acceleration pros and cons if you have no idea about it. Download for Mac Download for PC Popular NVIDIA GPU-accelerated Applicationsĭifferent from Intel's leading on CPU accelerated performance, NVIDIA targets GPU-accelerated computing, which is vital for a wide range of compute-intensive tasks.

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