I think davidm wrote a comment here regarding hoping for thunderbolt (4) support but turn deleted it?

I highly doubt this will support it because neither did the DGX Spark / GB10 which these mobile chips are based on.

Thunderbolt support is kind of a mess on arm. Besides Apple partly because they co-developed the standard with Intel, so they're allowed to use it royalty free from what I understand.

QuoteSamsungs iPhone Ultra Konkurrent

Samsung hat schon mehrere Smartphone-Versionen dieser Art vorgestellt, Apple noch gar keines, aber Sie verwenden trotzdem eine Rhetorik, als wäre Apple in dem Smartphone-Bereich schon längst eine große Nummer oder gar die größte Nummer.

Das ist kein objektiver Journalismus!

Just to make it clear why memory bandwidth is so important:
While the AI / LLM token generation (tg) (the generation of text) depends on the memory bandwidth, the prompt processing (pp) (the processing of input text) depends on the compute of the GPU (basically, the GPU's 3DMark score / FPS performance), but this, again, depends on the memory bandwidth (as you can see in the quote above).

That doesn't mean that a workstation GPU, like a RTX PRO 6000 (96 GB VRAM) (same GB202 chip as a 5090 (32 GB VRAM)), can't have 3 times the VRAM memory, which it has, but it also has 1.8 TB/s of memory bandwidth (thanks to its 512-bit chip and using the, much faster per bit, GDDR7 VRAM chips).

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If this N1X or Strix Halo had a bigger variant, using the same 512-bit memory bus width, its memory bandwidth would only be:
546 GB/s = 256-bit * 8533 MT/s / 8 / 1000.
(again, a RTX 5090, using the same 512-bit wide memory bus, has 1.8 TB/s)

This APU, on the other hand, uses LPDDR5X memory, so while it can have up to 128 GB RAM (not VRAM, that uses GDDR6 or GDDR7), its system memory bandwidth is still rather (very) slow at 273 GB/s.

As such, depending on how big your input text size is, 273 GB/s, or a 4060 Laptop of performance that this memory bandwidth allows for, may take a while to process the amount of text.

On reddit.com/r/localllama many users don't seem very happy with their Strix Halo' (=256 GB/s memory bandwidth) prompt processing speed in e.g. agentic workloads.

What you instead may want to build for AI / LLMs is a simple desktop gaming PC with as fast of a GPU and as of VRAM that you want to afford. If AI / LLMs are a priority, look at the workstation cards (RTX PRO 4000, PRO 4500, PRO 5000 and the mentioned PRO 6000, tho they are expensive), because they have double or more VRAM (see given example of a 5090 (32GB VRAM) vs PRO 6000 (96GB VRAM), but it's the same GB202 chip (see en.wikipedia.org/wiki/Blackwell_(microarchitecture))), than the desktop mainstream gaming GPUs using the same GPU chips.

I'm rather sorry that the very comical "Nvidia N1X/N1 laptops vs MacBook Neo" title has me ROTFLMAO!!!!

Like do you folks HONESTLY think these two FAR DIFFERENT products are for the same market? LOL!!!

Forgetting for the moment that the "Neo" sells well as its both NON-Microsoft AND has a VERY attractive price/performance/build quality to it the Nvidia device is comically being marketed to the non-existent "AI" folks (that have already REJECTED most/all Microsofts AI SLOP).

The REALLY sad part is that a Nvidia N1X/N1 laptop MIGHT be an AWESOME GAMING system if it were not for the insane high price.

While even Team Blue these days is coming up with APU's with more iGPU than CPU for portable Gaming I guess we can still DREAM of a Nvidia powered device for the same market.

Naja, die großen 18 Zoller gehen schon unter 50dB. Alienware hat es dort versucht mit etwas mehr Gehäusevolumen, hat aber trotzdem nix wirklich gebracht. Area51 ist nicht leiser als mein blade 18, obwohl es deutlich größer und schwerer ist. In Balanced Modus liegen beide um die 45dB, in Silent sogar unter 40dB; Legion i9 soll ungefähr genauso sein. Und so weit ich weiß, das sind schon die leisesten Modelle.
Bei maximaler Leistung ist sowieso kein Notebook leise. Gibt es einfach nicht.
Abgesehen davon, man darf nicht vergessen, dass die Hitze steigt bei starker Hardwarebelastung überproportional zu Leistung, deswegen steigt auch der Kühlbedarf enorm. Ein bisschen dicker zu bauen bringt da nix, da müssen schon einige Zentimeter mehr sein, um bei niedrigen Lüfterdrehzahlen gute Kühlleistung zu realisieren.