komuher

I would assume about 30-40k usd but we'll see

1000 TFLOPS so i can run my GPT3 in under 100 ms locally :D

If 1000 TFLOPS is possible to do in inference time then im speechless

Damn you Swiss, Poland, Austria, Sweden, Norway, Finland, Estonia for colonialism.

Its wall power without cpu encoding with cpu its ~140W.

But i can agree results are good but we need also to remember Samsung 8nm [rtx 3090 node] is 4 years old so 2 generations different from TSMC 5nm 4090 will be probably on 5nm node in few months and presumably will have 3x teraflops (probably 3x tf32 precision but it could be fp32 using 2/1.5x(?) more power).

(also I'm not sure about optimization it was write by apple employees and apple likes to drop open source support and focus on proprietary software)

You could just contact Polish organization (if they are in Poland) if u want i can link few organizations.

Right now we have about 2milion UA refugees in Poland and about 2-3 million immigrants so they should be able to have normal life for a short period of time and communicate in Russian/Ukrainian in most places cause of enormous polish efforts otherwise they should go to Poland and from there you could start supporting them.

Samsung 8nm was almost 2 years old when rtx 3090 was coming to the market (english isnt my native language in my head it was clearer :D)

Apple is on TSMC 5nm here comment from 2years ago about 8nm samsung vs 7nm TSMC

"Hell, Samsung 8nm is really a 10nm process, it's just an extension of Samsung 10nm with a ~15-20% improvement in transistor density.

TSMC 7nm (EUV 4 layer) is nearly twice as dense as Samsung 8nm. non-EUV (first gen TSMC 7nm) is still far denser than Samsung 8nm."

3090 is on Samsung 8nm 2+years old node so it will always be worse and still apple gpu claims are always oversaturated and its good people are talking about it considering apple propaganda of FASTEST CONSUMER GPU.

Despite this m1 ultra gpu is a big step for all people intrested in apple market and DL/ML workloads

Blender is still 3/4 times slower on ultra compared to rtx 3090 according to people testing it

34s on ultra (64 core gpu) vs 11s on rtx 3090

So 3 times slower but taking ~4 times less power (350W 3090 70W ultra [on 48 core gpu so about 90 on 64 cores])

118 usd after VAT here in EU

5500 is 199$ "Price Street", MSRP is dead for a long time especially for TSMC products.

i3-12100f is almost 100 usd cheaper in most builds you would use extra cash for better gpu or just get i5-12400f with the same / lower price and higher clocks but lets wait for benchmarks.

It wont be even close to RTX 3090 looking at m1 max and using same scaling maximum it can be close to 3070 performance.

We all need to take Apple claims with grain of salt as they are always cherrypicked so i wont be surprise if it wont be even 3070 performance in real usage.

xD

I can reflect on like past few years (like 1.5 year ago i was disappointed by julia lack of progres but a lot have changed).

Julia is getting usable even in "normal" applications not only academic stuff, as person who come back after 1.5/2 years to julia i feel like i can use it again in my job cause it is a lot more stable at have a lot of new neat futures + CUDA.jl is amazing.

I hope Julia team will still explore a bit more static type inference and full AOT compilation if language got full support for AOT it'll be a perfect deal for me :).

App store is full of scam right now so wouldnt be a big change xD