I have a RTX PRO 6000 96GB when the pricing was way better than now i also have a RTX 5090 too.
What I noticed is that (1) the great local models are optimized run inference (diffusion & LLMs) well on 32GB VRAM <= GPU's because that that's what the target has ...
(2) The quality of local models (esp. in diffusion) is increasing faster than the need for more VRAM - additional reason for the value of these FAST GPUs to increase!
(3) RTX PRO 6000 96GB is really great for fine tunes (ai-toolkit) :) but doesn't outperform my RTX 5090 with inference by anything significant on the good local models.
I have never run an AI job on a Mac, i also have doubts about performance and compatibilities - since the reviews almost never compare directly.
This a variant of the provenance scheme: C2PA its implemented by all major Camera maker, and Google it seems, Apple support it with 3rd party apps on iPhone, but they have something called "Apple Reference Image" brewing.
Personally I think there is a good argument for being able to distinguish AI generated image and video...
> I think there is a good argument for being able to distinguish AI generated image and video...
Neat but that's not what's being built here. What's being built is "we can trace back this content to who made it" which is bad. Doesn't matter if today that it's limited to AI generated content. Won't be tomorrow. Your devices should not act against your best interests. No cop in my pocket please.
Note: Those results are a little misleading the good LTX results were generated with a good workflow in ComfyUI, and a prompt expanding local model.
Whilst the H3 result was generated with the raw api using his raw prompt.
If you ask ChatGPT or other AI model to "improve" your prompt (with cinematic, good lighting) generally, you will get also very good result from H3 also.
My own H3 test show that H3 (API edition) is undoubtedly better than LTX in prompt adherence ! The real comparison will be with the edition of H3 we get to run locally.
Its understated, but this kind move is now systemic in the EU due to the sanctioning of ICC & EU officials and random people who hurt the presidents feelings requiring Microsoft to remotely kill access to resources tied to Microsoft Accounts.
Without rules of law its literally irresponsible for EU to have this kind of heavy dependency on US corporations.
A nice little AI review with comparison of the CPU/Power Draw & Networking would be interested in seeing a fine-tuning comparison too. I think pricing was missing also.
Imagine your a super smart 'aztec' citizen and you watch your leading priests sacrificing 1000s of people in the name of a god which is probably imaginary ... you have the choice to dumb down (re-occupy your mind with work, duties, mundane, gish gash) and stop over thinking or ... continue to contemplate the true horror's that your world is indulging in or something else even...
What I noticed is that (1) the great local models are optimized run inference (diffusion & LLMs) well on 32GB VRAM <= GPU's because that that's what the target has ...
(2) The quality of local models (esp. in diffusion) is increasing faster than the need for more VRAM - additional reason for the value of these FAST GPUs to increase!
(3) RTX PRO 6000 96GB is really great for fine tunes (ai-toolkit) :) but doesn't outperform my RTX 5090 with inference by anything significant on the good local models.
I have never run an AI job on a Mac, i also have doubts about performance and compatibilities - since the reviews almost never compare directly.