- #NVIDIA GPU DOWNLOAD PAGE FOR MAC#
- #NVIDIA GPU DOWNLOAD PAGE DRIVERS#
- #NVIDIA GPU DOWNLOAD PAGE FULL#
- #NVIDIA GPU DOWNLOAD PAGE PRO#
If you have powerful enough CPU or multiple cores, x264 encoding would be better for stable recording and streaming. But we can see that GPU accelerated encoder NVENC can be inefficient in quality per bitrate. NVENC-based H.264 hardware encoding works on all gens of NVIDIA GPUS.įrom the H.264 video encoding performance table below, we get to know that NVENC hardware accelerated H.264 encoding is much faster than CPU based x264 encoding, and the former delivers little performance loss.
NVENC hardware accelerated H.265 (HEVC) 4K lossless/8K encoding is only available on Quadro P400 and later and Tesla P4 and higher. Note that Quadro GP100 and Tesla P100 don't support NVENC-accelerated HEVC 8K encoding. Operating system support: Windows and Linux Which graphics cards support NVENC: Quadro K420 and higher, GRID K1/K2/GRID K340/GRID K520, Tesla K10 and higher. Note that system, configuration and others may influence the performance result. According to NVIDIA's test, NVENC-based H.264 encoding is 5x faster than CPU-based x264 encoding by offloading compute-intensive task from CPU. Meantime, the quality of NVENC is the same as CUDA. NVENC hardware accelerated encoder, the specialized circuitry for video encoding, is up to four times faster than CUDA encoding for newer graphics cards and consumes less power at the same time. NVENC introduced in 2012 is one of the key features of NVIDIA's Video Codec SDK. NVIDIA CUDA GPU acceleration performance 2.
#NVIDIA GPU DOWNLOAD PAGE PRO#
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.
#NVIDIA GPU DOWNLOAD PAGE FULL#
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.
#NVIDIA GPU DOWNLOAD PAGE DRIVERS#
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.
#NVIDIA GPU DOWNLOAD PAGE FOR MAC#
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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