This is the datasheet list For comparison on both models i am thinking
1st Quadro P6000 SPECIFICATIONS GPU Memory 24 GB GDDR5X Memory Interface 384-bit Memory Bandwidth Up to 432 GB/s ################################# ##### NVIDIA CUDA® CORES 3840 #### ################################# System Interface PCI Express 3.0 x16 Max Power Consumption 250 W Thermal Solution Active Form Factor 4.4”H x 10.5” L, Dual Slot, Full Height Display Connectors 4x DP 1.4 + DVI-D DL Max Simultaneous Displays 4 direct, 4 DP1.4 MultiStream Max DP 1.4 Resolution 7680 x 4320 @ 30 Hz Max DVI-D DL Resolution 2560 x 1600 @ 60 Hz Graphics APIs Shader Model 5.1, OpenGL 4.54 , DirectX 12.05 , Vulkan 1.04 Compute APIs CUDA, DirectComput 2nd choise Tesla K80 TECHNICAL SPECIFICATIONS Tesla K801 Peak double-precision floating point performance (board) 1.87 Tflops Peak single-precision floating point performance (board) 5.6 Tflops GPU 1 x GK110B 2 x GK210 ############################################################# ####################### CUDA cores 4,992 ###################### ############################################################# Memory size per board (GDDR5) 24 GB Memory bandwidth for board (ECC off)2 480 Gbytes/sec Architecture features SMX, Dynamic Parallelism, Hyper-Q System Servers and workstations Servers 3rd choice Tesla V100 GPU Architecture NVIDIA Volta NVIDIA Tensor Cores 640 ################################# ####### NVIDIA CUDA® Cores 5,120 ### ################################# Double-Precision Performance 7 TFLOPS 7.8 TFLOPS Single-Precision Performance 14 TFLOPS 15.7 TFLOPS Tensor Performance 112 TFLOPS 125 TFLOPS GPU Memory 16 GB HBM2 Memory Bandwidth 900 GB/sec ECC Yes Interconnect Bandwidth 32 GB/sec 300 GB/sec System Interface PCIe Gen3 NVIDIA NVLink Form Factor PCIe Full Height/Length SXM2 Max Power Comsumption 250 W 300 W Thermal Solution Passive Compute APIs CUDA, DirectCompute, OpenCL™, OpenACC -----Mensagem original----- De: ffmpeg-user [mailto:[email protected]] Em nome de Dennis Mungai Enviada em: quinta-feira, 23 de agosto de 2018 13:27 Para: FFmpeg user questions Assunto: Re: [FFmpeg-user] Best Nvidia professional cards for li e transcoding Hello there, Does your budget allow for a newer line of NVIDIA GPUs, such as the Quadros based on Pascal? If so, get the Quadro P6000. Plenty of VRAM, + all the NVENC encoder features you may need, such as HEVC high-depth encoding and vastly better encoder performance overall. Refer to this: https://developer.nvidia.com/video-encode-decode-gpu-support-matrix If budget is not an issue, go for the jugular with the Tesla P100 (if you don't need HEVC 8k encoder support) OR the Tesla P40 (if you want/need all the features). I cannot speak for the Volta (GV100) line of GPUs as I'm yet to evaluate them in production. On 23 August 2018 at 19:02, Pedro Daniel Costa <[email protected]> wrote: > Hi guys i am looking for best Nvidia cuda professional card for live > transcoding 100Channels, 50Channel HD mpeg4 aac 1980x1080p, and > 50Channel sd mpeg2 576x480. > > I am thinking TESLA K80, 4992GPU cuda cores, is there a more powerfull > card? > > Will be running on DELL R910 Server 32Core quad CPU > _______________________________________________ > ffmpeg-user mailing list > [email protected] > http://ffmpeg.org/mailman/listinfo/ffmpeg-user > > To unsubscribe, visit link above, or email > [email protected] with subject "unsubscribe". _______________________________________________ ffmpeg-user mailing list [email protected] http://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email [email protected] with subject "unsubscribe". _______________________________________________ ffmpeg-user mailing list [email protected] http://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email [email protected] with subject "unsubscribe".
