Beiträge von Joe24

    You really should point my fault out.

    Do I have to? Okay, this is not productive or constructive for anybody, but here we go....

    First of all, with a $200 budget and an 8000-series Intel processor, the OP is not a high-powered user. He's looking for hardware encoding and some light effects, by the sounds of it.

    I explained the different generations of Nvidia cards, and why Ampere is a waste of money for encoding, and Lovelace (while somewhat better for encoding) is obviously way out of his price range. I suggested a card (2060S) at the price point he was looking for, and with what should be very good specs for his purposes.

    You came in with a misinformed wall of text touting every high-powered card you'd ever heard of. Despite the facts that: this clearly wasn't what he was looking for, encoding wouldn't benefit from these cards (as I'd already explained), Vegas editing wouldn't benefit much from these cards, and they were also significantly out of his price range (a Quadro, when the guy asked about $200 cards? Really?).

    I did not provide a bad answer compared to yours.

    I answered his question, based on my own experience trying to improve Vegas' performance. You shouted me down by copy and pasting half the Internet, which didn't really apply to his situation or to Vegas.

    ... gluing humilation with context.

    I don't speak whatever language this is.

    You are actually recommending 40-series cards, which are NOT older than mine recommendation.

    If you actually read what i wrote above, you'll see i was not recommending Lovelace cards to this gentleman. Quite the opposite. They do have better onboard NVENC encoders supposedly, but are significantly out of his price range and are not a good fit for him.

    Nor is it simply a matter of card age. Which i explained (Pascal vs Turing vs Ampere). For instance, a 2060 Super has the same NVENC module and 24% more memory bandwidth than a 3060.

    I will say that you were right on one thing: Faster processors make everything better, including Vegas. But the OP's rig isn't that bad for what it seems like he's doing, and on a $200 budget he's certainly not going to buy an entirely new platform and a 13900K or 7950X.

    Vegas is notorious for not benefiting from hot graphics card hardware. Which you'd know if you had any experience with it. I've been working with Vegas for over a decade, on over a dozen different graphics cards.

    I'm here to share what I know, because somebody asked. I didn't come here to waste time arguing with somebody who has no experience with Vegas and who clearly doesn't know what they're talking about.

    Regarding dedicated graphics card for encoding, low-end Nvidia Turing (except GTX 1630 and GTX 1650) cards are best at the moment. Any Nvidia card from 1650 Super and up.

    Turing cards (16/20-series) encode notably better h.264/h.265 picture quality for the same bitrate vs. Pascal cards (10-series). Difference to me looks about the same as decreasing the Constant Quantizer setting by 1, but with the same filesize.

    Ampere cards (30-series) use the same NVENC module as Turing. The NVDEC decoder has a slight improvement, but not the encoder.

    Lovelace cards (40-series) have better NVENC modules, but are outside your $200 range at the moment.

    Worth noting too that a higher-end card won't gain you much encoding performance. Turing and Ampere cards all have the same NVENC encode module, which has nothing to do with how big the GPU is, how many CUDA cores etc. Separate module. (If you're doing effects or filters etc. where you also use CUDA, that's different...) The only encoder difference between a 1650 Super and a 3090 Ti is memory bus width/speed; they both have the same NVENC module.

    The RTX 2060 Super has a 256-bit memory bus with 14 Gbps GDDR6. Might be close to the sweet spot for you.

    Nvidia NVENC - Wikipedia

    List of Nvidia graphics processing units - Wikipedia

    It's something to do with your resolution. I tried a known working project on my rig (VP15, 3060Ti, Voukoder 13.0.2, Nvidia driver v531.29DCH patched with keylase), and I can make it choke by changing either of the resolution values (width or height) to your values. Tried 2400x3600, 1920x3600, 2400x1080. In all 3 cases, I get the following error in the log when ffmpeg is being initialized:

    FFmpeg: InitializeEncoder failed: invalid param (8): Invalid Level.

    When setting resolution back to 1920x1080, everything works again.

    According to the documentation, NVENC resolution limit for everything from Pascal to Lovelace is 8192x8192, so it shouldn't be an NVENC problem. Either FFmpeg doesn't like your resolution, or it's not receiving the correct syntax from Voukoder.

    You could test for an FFmpeg limitation by CPU-rendering a small test file in Vegas and then trying to re-encode the file using FFmpeg and the NVENC encoder directly from command line.

    So it's not viable for VP to use the x264/x265 libraries ONLY if they are present in the FFmpeg build? (Which would only happen if the user has chosen to download and compile their own version of FFmpeg, manually enabling these encoders.)

    The CCFS CuminCode FrameServer schmuck is happy to charge for his crap programming skills and lousy work ethic. Voukoder works several times faster, and is so much easier to use. Voukoder has no equal that I'm aware of. And believe me, I've looked! Especially if multiple streams and filters will soon be supported . . . Your program is vastly better and worth AT LEAST what he's charging ($15). Possibly 2-3+ times as much.

    Keeping in mind that most of us paid for the NLE suites that we use Voukoder on.

    One thing I would add is that a trial period of 1 week is NOT long enough. That's what CCFS is currently doing, and it did not make me happy. I've got other things in my life that need attention too, and I can't take a week off just to learn a new program. In my experience as a consumer, 1 month is a comfortable time period to figure out if a program will actually do what you need. I needed a couple solid weeks of working with TMPGEnc before deciding to buy it.

    P.S., I decided not to buy CCFS. Total garbage.