Great review! What camera do you use for recording?

All in all, you recommend the m3 Max for blender correct ?

My favorite part about the PG32UCDM is that there are two sRGB modes that target two different gammas being flat 2.2 gamma and the sRGB gamma.

Awesome review! These are actually 3rd Gen Samsung panels.

Good review, but you could do with some b-roll footage showing what you are actually talking about. I just have to imagine things now, for example when you talk about your preferred OSD menu, which kind of defeats the point (as it's so subjective).

What MacBook is behind you in the background there? Also, I’m waiting for the PA32UCDM, it comes later this year and it’s a OLED panel with 240hz refresh rate, along with an aluminum deign and more color accurate compared to some of the other gaming monitor displays(even compared to Asus’d own ROG OLED monitor using the same panel. Asus claims it goes to 1000 nits peak, but I’ll have to test that for myself. Overall I’m about to watch this video and Make an edit to this comment to give my after thoughts of your video. Thanks again for posting!

can't wait for m4 pro max review

Hi there, what is the unified memory on this computer?

Hi @Matthew - Great content my friend. 👍👍 I'm a vfx generalist and editor who has been on a 2019 macbook i9. Now that I'm getting more into 3D for work; I'd love to get your opinion about 3D animation on an M2 or M3 and what specs are the most important. To confirm with someone like you, because I have a couple of friends that bought a PC for their 3D work because they thought they had to. Thank you for any help/advice. (Working mostly in Blender and After Effects right now)

LMAO 🤣 m3 destroys 4070ti and below. Apple on top

So 4060M is still 2-3x faster than M3 Max ? 🤷‍♂️ Although it's 36-48GB VRam that you can use upto on Mac.

Very instructive, thank you very much

Good grief Charlie Brown

this is pretty much the only practical application of M3 ray tracing after being out for so long

what is your machine's spec? I have a M2pro but I can't even run 3bit quantization :/

I have an Macbook pro m3 11/14 with 36gb would that make it work?

How much memory on this MBP? Thanks for the vid.

How does this compare to 4080 rtx etc?

do you think 48gb of ram is enough for this sort of work? ive just purhcased one but am concerned i shouldve gone for 64gb despite my spending limit, thanks for any help

Hello , very nice video, I have hard time deciding if at the same price should i buy a Macbook Pro 14 with an M2 Max 32Gb Ram or an M3 pro CPU 18Gb Ram? your help will be very appreciate Thanks 😊

To me the cost of Copilot is such a small factor, if you consider the cost of all the hardware required to run a half decent model, and the ongoing electricity bills, you're paying FAAAR more for a local setup. But the real beauty of LLMs is the privacy, being able to put whatever you in there and not send it to Microsoft to use for later fine tuning is a huge win and makes this investment worth it. Not to mention, there is no fear of that service one day just being taken away from you, or censored to the point that it's completely useless. Now if only GPUs weren't so damn expensive... thanks big tech.

So in terms of viewport performance, to even get close to my current RTX 3070 Ti laptop it takes a 14c CPU/30c GPU M3 Max (mine even outperforms it significantly when it comes to the denoiser because OpenImageDenoise sucks). Viewport performance in rendered view is around 10FPS on my machine. The render itself takes about fifteen seconds (and most of that is copying the data it needs into VRAM), so the M3 Max has me beat there. Genuinely would LOVE to see benchmarks with MetalRT (then it'd be more apples to apples since I ran my test using NVIDIA's OptiX). I do wish Apple would put the time into developing a competitor to OptiX denoising though

hey, thanks for your great content! I just wonder will M2 Ultra be better? Or the M3 Max is a really big update and can do the great work. 😊

This is the most informative Video regarding the capability of M3 Max for blender I have seen in the last 3 months. Thank you for taking the time and creating this video. It actually helped me to make my decission to by a macbook with the M3 Max Chip! @Apple should use this video to make clear what this chip could do!

I downloaded it and installed. Unfortunately I am unable to add Archimesh. Preferences don't show up no matter what trick I use. Any suggestions?

Just tested the render times on an RTX 3090 Windows Desktop PC using Blender 4.0.0: - Blender 3.3 Splash screen (the island) at 100 samples >>> 17.99 secs (matthews m3 max 7.8 secs) - Blender 3.5 Splash Screen (cute ktichen) at 128 samples >>> 13.90 secs (matthews m3 max 31.6 secs) - Blender Classroom at 100 samples + denoise >>> 7.01 secs (matthews m3 max 10.1 secs) I'm really happy to see the Macbooks finally coming closeto the rtx cards

wow thats nice and good news. may i know what blender version is stable for mac m3? i had the latest version 4.0.2 but suddenly crashing many times in normal mode modelling. can you please help any solutions for this. thanks in advance.

i bought copilot about a year ago but was unable to find clients and i never really used it :( this is an interesting alternative

Nice, but I think I'll wait few more generations of M chip till it becomes faster for Stable Diffusion. 768^2 per image for 16 seconds is slow imo. SDXL 1.0 is good for 1024^2 images which is what I prefer as my lower threshold of resolution. Although I think you should test LCM SDXL which takes only 2-8 steps per generations with better quality. It should be 5-10x faster.

Continue extension now has autocomplete beta. I have been testing it and works quite well. As this was excellent video, I would like you to test it as well.

Good review,to the point.Just what I needed,thx.

Very good. Thx a lot.

did you happen to enable Metal API rendering in blender settings? it's supposed to make better use of the hardware by using the graphics API that apple designs around their chips.

Your channel is amazing! Very informational and packed with jams! Subscripbed and liked! Please continue the awesome work!

This is faster than my 4070 desktop, and even faster than my 4090 work station. Mainly because on PC, the geometry loading section cost way too much time when MacBook is already rendering scenes. My M2 Max chip is also pretty OK on the final frame rendering, but it is mushy when doing look dev, probably because there's no ray tracing tech in this chip. Wow, very cool comparison! Thanks for sharing~ FYI, the 3.5 splash screen (at 1:40 in this video) is about 15 seconds on M2 Max MacBook Pro / 18 seconds on 4070 / 10 seconds on 4090 the sheep scene, using the same 100 samples with denoise, is about 1minute 27 seconds on M2 Max MacBook Pro / 34 seconds on 4070 / 19 seconds on 4090

can I do it in IntelliJ IDE?

this is the first time I watched your video and I can’t stop noticing that your mic is behind you

Hmm so between a Top M3 Pro and Base M3 Max, the difference in time savings is 4 seconds but for a difference in cost of anywhere from $450 CAD to about a $1,000. I suppose then an M3 Pro chip is perfect if Stable Diffusion is not necessarily the only use case for the machine - am I correct to think this? I'm just trying to purchase the correct spec MBP for my use case, which includes Stable Diffusion, school work, running my Shopify store, and some video editing

Is there anything I can do with 12gb VRAM that is worth trying?

"would you pay to use spellcheck?" Well, when the minimum hardware specification to run an LLM locally (well) is a $1600 USD GPU, then yeah, I would. For a hobbyist it would take years to make up the cost in paying for the cloud service, and by that time the GPU will be out of date.

How are you hosting the card? Standalone PC, or as an egpu? Would be interesting to know the little details 🙏

Clear, concise explanation of the pros/cons of using local LLM for code assist

What about privacy? I mean about copyright? Can we use it with company/client code?

How many tokens can be used in repo context window? Can it do \explain I.e. understanding a repo and app you have never seen before?

I think I imight have heard a little difference between amps in the Opera track. But for the Fugue I couldn't hear a difference even when the amp names appeared 🙈

I will argue, it is faster to write the code than to write code description for AI

Would a 3090 and 64gb or ram be good enough?

nice I liked that you kept it short

I tried Dolphin Mixtral out on my M3 Max and it wasn't all that great at a ReactJS code exercise that I’ve used in interviews. It came back with code that didn't meet basically any of the requirements, so I nudged it the same I would have done for a candidate, but really couldn't produce anything better before it said it wasn't able to fix them with the context it had (incorrect). I tried the same prompt with OpenAI’s GPT-4 via ChatGPT and it did better in the initial shot but made some mistakes, which I again prompted like I would have done a candidate and it nailed the exercise on its 3rd response. It took devs with ~3-5 years of total experience (at least 1yr with React) around 25-45 minutes to complete this, so GPT-4 nailing it in about 2 minutes is pretty good.

what a freak, love it