:S You can easily pipe a Tensor job and whatever in anotehr side.
Also, as said a frame upscaled + AI rendered will be much more fatser than giving job to CPU.
The VRAM is vastly unused, so no excuse for not optimizing and using it.
If not perfect at least DirectStroage exists, it is allready used in supercomputing, so why not here in a kick ass brand famous AI upscaler ?
So with such latency I can get the code is DirectML, if CUDA we wouldn’t get this
Started to show artifacting after the recent update, can anybody help?
Topaz Video AI v5.3.1
System Information
OS: Windows v10.22
CPU: Intel(R) Core™ i9-7900X CPU @ 3.30GHz 63.702 GB
GPU: NVIDIA GeForce GTX 1080 Ti 10.846 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis 1X: 04.37 fps 2X: 03.02 fps 4X: 01.24 fps
Iris 1X: 04.48 fps 2X: 02.54 fps 4X: 00.93 fps
Proteus 1X: 04.08 fps 2X: 02.72 fps 4X: 01.30 fps
Gaia 1X: 01.63 fps 2X: 01.10 fps 4X: ERR fps
Nyx 1X: 01.95 fps 2X: 01.67 fps
Nyx Fast 1X: 04.38 fps
Rhea 4X: ERR fps
4X Slowmo Apollo: 05.74 fps APFast: 22.28 fps Chronos: 02.67 fps CHFast: 04.27 fps
16X Slowmo Aion: 08.92 fps
supposedly this artifacting is from GPU failure, can anyone recommend an ideal replacement for my sytem to efficiently run Topaz Video AI that is compatible with my system? I have no idea what type of card I should be looking for an what is compatible with my system. I have an X299 Designaire motherboard and an Intel(R) Core™ i9-7900X CPU @ 3.30GHz 63.702 GB
4070 Super or, if your budget allows, a 4070-Ti-Super with 16gb of Vram.
Thank you for the recommendation. Does it make sense to upgrade my GPU to the 4070 Super or Ti if my intel processor / motherboard are still from 2018? I don’t want to abandon my system entirely as it was fairly expensive and I’m not ready to write it off yet. Would this be a worthy upgrade or am I putting too nice of a GPU in too old of a system?
Whether u can actually utilize the power of a 4070 depends a lot on your workload. If u upscale x2 or especiall x4, a 4070 will most likely be under utilized because the CPU+RAM are too slow to upscale the image for it.
So for more specific recommendations, it would be interesting to know what your typical processing tasks are.
I’m a doc filmmaker, and I use it professionally to clean up archival footage. Most work is 1080p enhancement with Iris, though I do occasionally upres to 4K for individual shots for the purposes of reframing. Is the 4070 compatible with my motherboard?
if its under utilized, does that just mean im throwing money away, or does it mean I can get away with using a lesser card? I had no issues with my previous GeForce 1080 ti SC2 (until the recent artifacting), the render times never bothered me because I usually handle those tasks overnight anyways. I guess i’m wondering if Topaz Video AI burned out by GPU by doing overnight renders, or if its just an age issue and not the fault of enhancement software.
You’d be fine with an RTX 3060 TI.
The GPU should be able to run at full load as long as it’s not overheating. Your factiry thermal paste may have dried-out and caused elevated temps, but even then, the GPU should back off the clocks until temps come down. Topaz may have exposed a flaw or defect, but it shouldn’t damage properly’working hardware.
Wrong a 9950X easily fills a 4090
Its entirely possible the thermal paste dried out. I’m not a heavy user of this particular system, its only been used sporadically since 2018. I’m getting fairly low temps, anywhere from 57 at normal and 75 under load, I just started with the artifacting maybe a week or so ago after extended use. I left my computer on for several days last week (not in sleep mode), though not rendering or anything.
It was about a i9-7900X which might not be able to feed a 4070 when upscaling is involved.
Also, it could be useful to have a dedicated hardware thread (also for configuration recommendations) here on topazlabs for these discussions because they are a little offtopic from the benchmarks.
sorry about that, I figured the benchmarks were an indicator whether I was getting good framerates or not and whether my GPU was failing. That’s the only reason I posted it here. Its behaving erratically.
I had an Nvidia GTX 1070 ti at first. It was before we even had Video AI when I splitted a video file into frames and processed all frames of the 15 minute long video via Gigapixel to make a 4 k video. The result was stunning, but right after the work was done both my 1070 ti and the power supply died. 
That’s what I’m afraid I did as well. What did you end up replacing it with?
I was lucky that both parts were still under warranty. Du to the lack of replacement cards I got the 1070 ti replaced by an RTX 2070 Super on warranty and an equal if not better power supply. The 2070 Super processed around 130 full movies and is still working fine except that occasionally a black box begun to eat my output video. Could be a GPU memory issue though. 
4070 is where the 12gb vram buffer starts in Nvidia’s current linup. Below that are offerings with less vram than your 1080Ti. The 4070 Super is a better value in that the performance jump is bigger than price jump, but even a regular 4070 will do fine. Also, artifacting is usually associated with vram failure. The vram temps may be available in monitoring software (I don’t remember if it was available on my 1080ti), but the gpu temp doesn’t reflect how hot the vram is getting.
AMD 7950X 16 Core CPU comparison with using all 16 cores vs only 8 cores on CCD0 (faster of 2 CCDs) vs only 8 cores from CCD1
Most tasks are actually faster when only using 8 cores from the same CCD than using all 16 cores from both CCDs. Especially the tasks involving image scaling are about 10% faster with only 8 cores on same CCD which indicates that there is more RAM/CPU cache intensive work performed than the tassks without scaling.
(CCD = chiplet with 8 cores each which are both integrated to form the 16 core CPU)
16 cores (mostly slower than only 8 cores from a single CCD)
Topaz Video AI Alpha v5.3.0.1.a.hyp.rxl
System Information
OS: Windows v10.22
CPU: AMD Ryzen 9 7950X 16-Core Processor 31.118 GB
GPU: NVIDIA GeForce RTX 4090 23.576 GB
GPU: AMD Radeon(TM) Graphics 0.47445 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1920x1080
Benchmark Results
Artemis 1X: 41.97 fps 2X: 17.27 fps 4X: 05.02 fps
Iris 1X: 41.76 fps 2X: 20.55 fps 4X: 05.67 fps
Proteus 1X: 41.18 fps 2X: 20.79 fps 4X: 05.82 fps
Gaia 1X: 14.57 fps 2X: 09.63 fps 4X: 05.15 fps
Nyx 1X: 17.10 fps 2X: 15.10 fps
Nyx Fast 1X: 32.39 fps
Rhea 4X: 05.32 fps
4X Slowmo Apollo: 44.11 fps APFast: 90.15 fps Chronos: 32.32 fps CHFast: 40.06 fps
16X Slowmo Aion: 37.10 fps
CCD0 (first 8 cores which are a little bit faster on AMD CPUs)
Topaz Video AI Alpha v5.3.0.1.a.hyp.rxl
System Information
OS: Windows v10.22
CPU: AMD Ryzen 9 7950X 16-Core Processor 31.118 GB
GPU: NVIDIA GeForce RTX 4090 23.576 GB
GPU: AMD Radeon(TM) Graphics 0.47445 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1920x1080
Benchmark Results
Artemis 1X: 41.01 fps 2X: 19.24 fps 4X: 05.19 fps
Iris 1X: 42.58 fps 2X: 22.68 fps 4X: 06.24 fps
Proteus 1X: 40.98 fps 2X: 22.54 fps 4X: 06.27 fps
Gaia 1X: 14.47 fps 2X: 09.65 fps 4X: 05.75 fps
Nyx 1X: 17.15 fps 2X: 15.41 fps
Nyx Fast 1X: 32.41 fps
Rhea 4X: 05.63 fps
4X Slowmo Apollo: 44.09 fps APFast: 91.22 fps Chronos: 32.26 fps CHFast: 39.83 fps
16X Slowmo Aion: 36.79 fps
CCD1 (second 8 cores which are a little bit slower on AMD CPUs)
Topaz Video AI Alpha v5.3.0.1.a.hyp.rxl
System Information
OS: Windows v10.22
CPU: AMD Ryzen 9 7950X 16-Core Processor 31.118 GB
GPU: NVIDIA GeForce RTX 4090 23.576 GB
GPU: AMD Radeon(TM) Graphics 0.47445 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1920x1080
Benchmark Results
Artemis 1X: 42.01 fps 2X: 20.59 fps 4X: 04.93 fps
Iris 1X: 41.79 fps 2X: 22.07 fps 4X: 05.87 fps
Proteus 1X: 41.19 fps 2X: 22.55 fps 4X: 05.95 fps
Gaia 1X: 14.46 fps 2X: 09.55 fps 4X: 05.41 fps
Nyx 1X: 17.14 fps 2X: 15.82 fps
Nyx Fast 1X: 32.27 fps
Rhea 4X: 05.62 fps
4X Slowmo Apollo: 43.40 fps APFast: 90.50 fps Chronos: 32.17 fps CHFast: 38.83 fps
16X Slowmo Aion: 36.25 fps
perfect that’s what I needed to know, thanks everyone for indulging this tangent.
Hello.
I don’t have to remind you of this, Michael… but time… TIME… is money right?
Your rig is your personal money-maker, right, Michael?
Most of us just love holding on to our legacy… uhm… stuff… BUuTtT… what does that mean for you again, Michael for your PROFESSIONAL workloads again…
