Ok thanks I will try to get the V version
We need to have a reliable streamer hardware to run 50% capacity lets say I want to trasncodg 50hd channels and 50sd channels I want to run half capacity of the hardware We already have a Dell R910 server with 4 Xeon 8core cpu with 256GB RAM with 2SSD RAID mode , just ordering the Nvidia professional card now and wait for it to arrive to give it full testing. -----Mensagem original----- De: ffmpeg-user [mailto:[email protected]] Em nome de Pavel Koshevoy Enviada em: sexta-feira, 24 de agosto de 2018 09:41 Para: FFmpeg user questions Assunto: Re: [FFmpeg-user] Nvidia professional cards for li e transcoding On Thu, Aug 23, 2018, 11:06 Pedro Daniel Costa <[email protected]> wrote: > 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? > > I would confirm that K80 is indeed newer. I think K stands for Kepler, M for Maxwell, P for Pascal, and V for Volta. Volta is the newest on that list, and Kepler is oldest. Kepler's NVENC doesn't support HEVC encoding, I'd avoid it just for that. Pavel. _______________________________________________ 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".
