Why not use GDDR7, which offers 3 GB per chip density, then this GPU could have:
256-bit/32-bit per chip = 8 chips, 8 chips * 3 GB per chip = 24 GB VRAM, 24 GB VRAM * 2 (chips on both sides of the PCB) = 48 GB VRAM and the memory bandwidth would also be 30% higher, because it's GDDR7 and not GDDR6.
Alternative calculation: 32 GB VRAM * 1.5 (3 GB per chip, instead of the current 2 GB) = 48 GB VRAM.
Frankly, when it comes to AI/LLMs, I'm not interested in 32 GB VRAM GPUs..and I said this over 1 year ago.
Let's see if NVIDIA gives us consumer 48 GB VRAM GPUs in the RTX 60 series (probably not, but NVIDIA gave us RTX PRO 6000 Blackwell GPU with 96 GB VRAM, which I also didn't expect).

QuoteThe ECC memory is essential here, as a single bit flip could ruin a long render or an AI training run.

This GPU is not capable to train a LLM big enough where ECC would matter (even with several and days run, it is unlikely that something would happen). Neither is ECC necessary for fine-tuning with this GPU. Also, there are checkpoints, one doesn't lose everything, and even if, on this GPU the costs of losing a run are a few bucks a few days..in this ballpark. How I know? I asked the big LLMs over at arena.ai (aka lmarena.ai).

(en.wikipedia.org/wiki/GeForce_RTX_50_series#Desktop, en.wikipedia.org/wiki/Intel_Arc#Workstation_2)

• RTX 5090: 1792 GB/s = 512-bit * 28 Gb/s / 8.
• B70 Pro / B65 Pro: 608 GB/s = 256-bit * 19 Gb/s / 8.

So a consumer 5090 has a 3 times faster memory bandwidth and CUDA, of course. The only thing these B70/B65 could have go for them is having 48 GB VRAM and people trying to make them work without CUDA.

For inferencing these are probably fine (I know NV works using Vulkan just fine (a bit slower than using CUDA)), but then again, a 5090 has 3x the token generation and also much higher prompt processing.

QuoteWhat you made with Sora mattered...

Jaja sicher. Da wurde ganz große Kunst erschaffen und die menschliche Zivilisation auf ein ganz neues Niveau gehoben.

Quote from: konnt on Today at 15:23:20

Quotethe laptop starts at just 1.4 kg (3.1 lbs.). This is quite impressive

what on earth are you talking about!? 1.4kg for a 14" is heavier than most!
or is this simply an advertisment, then mark it as such!!

Indeed, this is just average. A X1 Carbon 13 and 14 is 2.2 lbs for same 14 inch display.

Quote960 Hz
Amplitude: 44 %

Since this is an OLED, I wonder how bad 960 Hz are for the eyes.

QuoteThe frequency of 960 Hz is quite high, so most users sensitive to PWM should not notice any flickering.

What is "most" in %? Could be over 50%.

3500 bucks for 32 GB soldered RAM and 16 GB VRAM (know that even 16 GB VRAM isn't super future-proof, even today, let alone when the PS6 comes out (rumored release: late 2027 and starting from then, the 16 GB VRAM may become not enough)) (AAA games are developed for consoles in mind first and their VRAM amount)? The display is also only 400 nits (I personally like an glossy OLED, but 400 nits glossy OLED = 300-350 matte IPS when it comes to reflections).

3dmark.com/search - Steel Nomad:
5070 Ti desktop: Average score: 6905 (33% faster and it costs less than a third (1000 bucks), what a poetry)
5080 (notebook): Average score: 5188

Quotethe laptop starts at just 1.4 kg (3.1 lbs.). This is quite impressive

what on earth are you talking about!? 1.4kg for a 14" is heavier than most!
or is this simply an advertisment, then mark it as such!!