I’ve been reading the forums for weeks including the benchmarks, but I cannot make a decision.
My primary interest is upscaling SD material, DVD or lower.
I couldn’t find benchmarks with 480x360 or 640x480 for both cards and 3.5.x
What I’ve read so far is that the cards are quite close in TVAI performance.
I also read about RDNA3 and Tensor cores and that there is room for improvement- which may come with 4.x
I used to play games occasionally, but I haven’t had time for it this year.
Regarding games the 4080 could be preferred over the 7900, but the 7900 has more memory.
The RTX costs 20% more than the RX, which is alright if the performance is 20% better.
I only buy graphics cards once in a few years, so I may sound a bit confusing.
But I want to avoid that I run into the thought “Damn, I should have bought the other card”.
The RTX 3080, 3090 and the 40xx series tend to have major issues with sudden black screens, the gpu fans ramp up and similar. Reddit and Nvidia forums are full of those reports. The reasons for this are mostly unknown. Affected are RTX of all brands. I wish I had read all that before I got my 4090. my first 4090 the MSI Suprim X completely died after day one. The 2nd one I got on warranty, the ASUS ROG STRIX OC has the sudden black sceeen issue.
these issues are not topaz product related and happen any time, even under light load by watching a youtube video when the gpu is mostly idle. it’s a real disaster.
you are right, but it happens maybe twice a week (or three times in a row). it can’t be reproduced easy and tends to happen preferrably during idle, so when asus gets the card they will just stress and return it claiming no errors are found.
He already has the second card.
And yes, the internet is full with reports of failing RTX especially 4090 cards - which seems very unfortunate considering the cost of those but that’s the disadvantage if you choose something at the highest end, reaching the limits of what’s actually doable, I guess.
A pimped to the max race-car V12 motor won’t run as reliable as your typical 200hp Diesel, either…
I had AMD graphics for years and they never let me down. It was in 2018 when I got my first Nvidia card. the 1070 ti. It died after 1,5 years. My ATI/AMD history is long: ATI rage 128, Radeon 9600 Pro, Radeon 6770M, Radeon M295X.
I used to have those black screens watching youtube, etc. at least once a week with my GTX 1080 Ti on Windows 10. usually when watching videos or streams or using GigaPixel AI on a large number of photos (bulk process).
The only way out when those black screens occurred, was to hard reset my machine (push the “reset” button - equivalent to power off/on) . I even reinstalled (clean install - Format and install) windows 10 about a year ago but still those continued to happen. I suffered with this thing for almost two years.
I installed Win 11 (clean install) about 2 months ago and since then it stopped.
I was surprised to see that the 3090s and 80s were mentioned as having problems.
My 3080ti has had no issues with anything since I got it on its launch day.
In fact, I bought an RX 6900 XT just for running TVAI on it. In the month or so that I had it, it only successfully processed a tenth of all the videos I tried on it. I eventually got tired of it and bought a 4070 ti to replace it. I have processed a few hundred videos on it without any issues.
I use it for the same thing the opening poster said they want to use TVAI for.
My suggestion is to stay away from the 7900 and get the 4080.
Main difference between these two manufacturers is - NVIDIA produces AI-oriented processors, AMD - “advanced GPU”. It means, if you workflow is not based on constatnt AI-oriented processing - you cna choose AMD as cheaper and slower alternative. But if your workflow based on AI-processing - there is no good alternative in consumer segment to NVIDIA’s AI-processors, despite bugs in drivers.
7900 XTX has no normal tensor processor at all. It very suitable for gaming and episodic AI-related work. But it is still unacceptable for serious usage in AI-flow.
So each one can choice according his needs.
Actually, I see no NVIDIA issues on multiple machines I have. But I’m agree - more complains should be about cards that most selling (just a quantity matter).
Yet another time my opinion is - card should be choose according workflow planned to execute. For single task it is possible use even modern CPU only. But for hard works AI-processors should be choosed - not HW-accelerators for AI tasks…
They have said that they are AI-oriented, so it is a focus of theirs. But, it is important to know that this only makes a difference if the AI processing you intend to use is made on their AI frameworks.
TVAI does have Nvidia specific implementations of most of their models. The non-Nvidia specific implementations run slower for sure, but it’s not impossible for Topaz to make AMD specific implementations that will yield speed improvements. Nvidia forced AMD to copy them, so they are behind at the moment. If you look back at VEAI 2, AMD cards were faster than the Nvidia cards.
I feel like it’s a little misleading to take those marking terms to make it sound like their products do different things.
If I remember correctly, the Gaia model does not have an Nvidia specific implementation.
Actually - not. If you take a look of AMD’s specification for XTX you will find only HW-accelerators. And more - it is weaker than old NVIDIA’s Turing cores.
Any way RX - is a cheaper solution for gamers and for whom occasionly make processing without time-critical requirements.
For more intensive workflows you need to use any AI-processor.
So choice should be according real requirements.
About implementation - it is not a matter of card architecture. For TopazLabs the same architecture can be used successfully (for TVAI), but have multiple issues in “brother” product (for TPAI).
One of the big selling points of the Apple silicon M1 and M2 is that they have Neural Cores for AI tasks. It’s the same story. They only make a difference if you use the Apple AI frameworks.
AMD might be farther behind then I thought. I can also see AMD not wanting to reinvent the AI framework.
So, finally, we’re staying at the same point - choice of AI rpocessing unit depend on requirements and workflow.
If you are gamer and make episodical AI-processing - HW-accelerators are your choice.
If AI-p;rocessing is your business - you need AI-processors.
It sounds to me like you are saying that because Nvidia was the first to be implemented in TVAI, it will be the only one. Because their cards are currently faster, they are somehow AI cards, and the others not. That is false.
All the GPUs from all the companies (Once the drivers get worked out) can run TVAI. There are very few people that report buying and using industrial GPUs on these forums. The ones that I can remember, expressed disappointment that they didn’t work or that they were slower than the ‘Gamer’ GPUs.
I’m just trying to make it clear that Nvidia is on top right now, but that that may not always be the case. Don’t go buying some GPU based on dubious marketing terms that make it sound like the competition doesn’t have—or even have plans for—similar offerings.
