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It does require a beefier PS, mine has two 6 pin connectors and I have used an adapter from 6 pin to 8 pin.
However, just for video editing you don't need the top of the line videocard, you just need the minimum that supports video encoding in that certain class, in this case an RX560/560X would be sufficient since it has the same encoding engine:
https://en.wikipedia.org/wiki/Video_Coding_Engine#GPUs
Yes, everyone thinks that when they're doing nothing but cutting clips and rendering out stuff...
Then they try to do color correction, effects, etc. and complain about awful performance, less-than-realtime playback, and rendering speed nosedives because thier weaksauce GPU can't handle it.
Especially thsoe people who try to move to 4K.
You should at least have a 4GB GPU for Video Editing on the even of 2019. You need that for 4k when you start doing effects, color correction, etc. unless you want to be forever limited to proxy playback resolutions (though I think PowerDirector enforces that at all times, anyways...).
GPU does matter for video editing, a lot... unless you're doing stupendously trivial work.
HW Decoders and Encoders will accellerate the Decoding of the RAW video and Encoding of the rendered frames. They do not render those frames for you - i.e. ALL of the work in between those two steps. CPU and GPU is needed for that. A Hardware Encoder will do nothing to accelerate Color Correction Effects... That's largely GPU-bound. A Hardware Encoder will do nothing to accelerate Stabilization Effects. That's largely CPU bound.
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When you render a video, this is how things work...
1. AMD VCD or NVDEC decodes the video from H.264 to RAW video frames, which are much bigger and take up a LOT of space in RAM (and VRAM, when they are passed to the GPU).
2. CPU Effects are calculated and applied to the frame. Some CPU Effects are light, some are quite heavy.
3. GPU Effects are calculateion and applied to the frame. Some are light, some are heavy. Frames have to be copied to GPU VRAM and then back to the CPU (unless you're using an iGPU, which allocates and shares RAM with the CPU.
- CPU and GPU effects may be applied in different orders, depending on how they are stacked in some NLEs.
4. AMD VCE or NVENC then encodes and re-compresses the video.
- GPU Encoding is typically of lower quality than CPU encoding, so for final renders the general guidance is always to avoid VCE or NVENC. They are fast, but they are actually more useful for Media Playback Acceleration and Streaming Applicaitons (since they're actually a seperate chip, they don't use much CPU or GPU... so theyr'e great for streaming to Twitch while gaming... you basically lose no performance even on budget gaming systems).
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The part that bogs down video editing is NOT encoding, as encoding can be done AFK, and is generally a passive task. It's the part in the middle that takes up the brunt of the time - even when encoding.
This is why NVENC decreases in benefits the longer and more complicated your edit is... Because you increase the amount of CPU/GPU grunt work, which means that you are spending less of your time Decoding or Encoding and more of your time processing on the CPU and GPU.
People who buy weaksauce GPUs for PDR and eventually have to move up to something like Premiere Pro, Resolve, Media Composer, etc. are going to suffer on those products when they began using some of the more heavy/advanced effects, color correction, stabilization, or want to render out ot formats like ProRes or DNxHR. For 4K, you will start running out of VRAM when using effects that make better use of hte GPU than consumer-level editors (all of which are terrible for this - almost without exceptions).
Most of PDR's "Acceleration" is generic OpenCL stuff, and the Decode/Encode is NVDEC/ENC and VCD/E. It's not the same kind of CUDA-Accelerated Acceleration you find in the higher end products, so this leads people to buy hardware that may not stand the test of time (or in some cases, leaves them with borderline useless machines when they have to move up to a more advanced package i.e. Laptops with only an iGPU and no TB3 eGPU connectivity).
And those higher end packages often are better optimized for CUDA than for AMD GPUs (unless it's a macOS port optimized for Metal, like DaVinci Resolve).
This message was edited 5 times. Last update was at Nov 18. 2018 05:21
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