[Cin] Observations using GPU on DNxHD and MPEG proxy while running CinelerraGG
p.autourduglobe at gmail.com
Thu May 16 20:01:56 CEST 2019
Until recently I also had the same feeling as you that my little video
card was powerful enough for linux editing.
In any case, few Linux software seems to really take advantage of the
real potential power of really powerful external video cards.
I don't use Blender, it doesn't match my type of activity. So the Cuda
cores unfortunately seem very useless to me with all the current Linux
I think the only characteristics of video cards that currently count
under Linux are their raw computing speed, their amount of memory, the
number of bits processed (64, 128, 192, 256, 320...) and finally their
bandwidth in GB/s. These features have an impact on the performance of
these cards under Linux as well.
Until now I have always chosen Nvidia cards because for equal
performance I found that it consumed less electricity, so required a
less powerful power supply and above all, allowed me to have a computer
that generated less heat.
If my video card is still sufficient for my needs, I will not change it.
If I have to change it, I will carefully re-evaluate my choice between
Nvidia and AMD.
I have always preferred to buy cheaper cards, which only satisfied my
foreseeable needs in the medium term, rather than seeking to buy in
advance, a very expensive card, so I would only risk being able to use
the total power much later, at a time when cards with identical
characteristics would then sell at a much lower price.
On 19-05-16 04 h 30, Igor BEGHETTO wrote:
> Pierre, your video card is good, for me.
> It has 640 CUDA CORES. Unfortuantely only ffmpeg-nvenc use cuda core and
> not for all codec, seems to me.
> If you use Blender (http://www.blender.org/) and enable
> ComputeDevice=YourGTX you can see that cuda cores save a lot of your
> time to render a 3Dmodel/scene and your cpu% is low.
> Il 15/05/2019 23.22, Pierre autourduglobe ha scritto:
>> Yes, I am also inclined to believe that my video card is the
>> culprit... for the lack of frame rate. It would not be able, through
>> Open-GL, to decode simultaneously the 5 streams (composer + 4 mixers).
>> I've never played any games on my computers either... but "gamer"
>> cards are much cheaper than pro cards, while being relatively
>> powerful, and that's why I've always chosen them for video editing.
>> My current video card dates from 2014, it's a Nvidia GTX-750ti:
>> It includes 2 GB of GDDR5 memory, 128-bit memory interface and a
>> Bandwidth of 86.4 GB/s
>> If it becomes clear that it is the guilty one... I'm ready to buy
>> another more powerful one.
>> I started looking at what could be bought, which would not be too
>> expensive and would be compatible with my current power supply (which
>> I don't want to change).
>> I also don't know if Nvidia video cards or AMD cards would be the most
>> compatible and optimized for Cinelerra-GG.
>> Here are the models I'm considering right now:
>> - Nvidia GeForce GTX 1070 (8GB, 256-Bit GDDR5, Bandwidth 256 GB/s
>> - Nvidia GeForce GTX 1660 Ti (6GB, 192-Bit GDDR6, Bandwidth 288 GB/s
>> - AMD Radeon RX 580 (8GB, 256-Bit GDDR5, Bandwidth 256 GB/s
>> - AMD Radeon RX 570 (4GB, 256-Bit GDDR5, Bandwidth 224 GB/s
>> But I'm not ready to buy right now....
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