Quote from: M2026 on Today at 08:45:40@Tyler
1. yes, it is faster – 2,6%, that is so interesting or even a "gamechanger"? 1,8 nm vs 4 nm and less, than 3%???
2. I am NOT an AMD fan – the opposite, that is why this is a disappointment for me as well, but let´s wait for the workstations
3. the iGPU is great, but only for MS Office, accounters etc. Not a single CAD/CAM guy will buy the Panther Lake laptop because of the iGPU!

@opckieran
,,Time for the fanboys to wake up..."
Yes, it is about the time to wake up – FOR YOU! Loool
Hype for how long, more than 1 year and then 3% better (sorry 2,6% :), than the 370 = 1,8nm vs 4nm? loool

Keep coping! You honestly believe customers make their final purchasing decision based on the *manufacturing node* as opposed to performance and efficiency?? And the GPU is 70% faster than 370's, not 3% (CPU perf parity doesn't help AMD either btw). Nobody said this iGPU was aimed at CAD/CAM. That's you shifting the goalposts.

Quote from: Citizen_not_Consumer on Today at 14:43:53Intel's 1.8nm appears to be a total failure:

1. All potential customers (Apple, Qualcomm, etc) who tested Intel's 1.8nm left running to queue up at TSMC and Samsung despite the increased prices and long waiting times. Intel intself is using TSMC for critical components (iGPU, and many CPU tiles still).
2. Intel's Panther Lake 1.8nm CPU efficiency is equal to 4nm TSMC's.
3. In few months Zen 6 is released (already in production for EPYC) and Intel will be trailing again for years.

The only thing Intel is good at, is spending taxpayers money by receiving huge subsidies (just received another $150 billion from Pentagon) instead of these money going to better education or health care so future generations can be better educated and compete internationally!

No actual consumers give a sh*t about manufacturing nodes... It's just e-peen measuring for nerds. Real customers care about the final product.

Zen 6 better be good for AMD's sake. After Panther Lake, Zen 6 needs to be +20% over Zen 5 if they want to stay competitive in the laptop space!

And at this point, I'd rather subsidize companies than get any more Learing Centers! Putting our education in the hands of foreigners... All that accomplished was us getting scammed to high heaven! I didn't vote for this woke-mandated nonsense!

Toll! Eine billig anmutende, hundeförmige, dimmbare LED-Lampe, der man das Stromkabel in den Hintern schiebt.
...wer's braucht...

Aber zugegeben: Das Produkt passt vom Niveau gut zu dem, hier üblichen Content. Traurig.

The issue I have with this laptop, are only 32 GB solered RAM. Give me at least a 48 GB RAM option. I'm not even asking for a 96 GB RAM option, so that I could host Gpt-Oss-120b or a GLM-4.5-Air quant.

At least Panther Lake supports up to 128 GB RAM, which is nice for a 128-bit wide memory interface APU/SOC.

Quote from: en.wikipedia.org/wiki/Panther_Lake_(microprocessor)Up to 128 GB

Which makes it twice, what Strix Halo offers: Strix Halo' memory width is 256 bits wide, but SH supports only up to 128 GB RAM.

This shows a short coming of the idea of "giga factory". It is too difficult to produce anything much different than what it is producing now. Tesla don't understand that people want is a model 2 not a toned down version of what they had now. If I want a model Y I would get one. Oh I forgot I actually no longer want Tesla because they stopped selling FSD. Nevermind!

IntelFan, soldered LPDDR5X memory reaches 8000 MT/s on Strix Halo and 9600 MT/s in Panther Lake. Upgradable DDR5 SODIMM memory reaches 5600 MT/s on AMD and may be slightly more on INTEL. 9600/5600 = 71% higher memory bandwidth and potentially 71% higher iGPU performance: They are the best iGPUs because they have the necessary bandwidth.

So, to solve the MT/s issue with changeable RAM, CAMM2/LPCAMM2/SOCAMM2 exist. So, what I would complain about then, is that no LPCAMM2/SOCAMM2 laptops exist. (CAMM2 is for desktops, would be nice if there were any AM5 mobos with CAMM2, too)

The only issues I see, is how much soldered memory one has and how likely it is that memory goes bad, because if it does, a repair is going to be impossible.

For LLM self-hosting, editing, running virtual machines, etc., I personally wouldn't complain too much if it there is a 48 GB RAM option.
64 GB RAM is going to be mostly relevant for LLMs.
96 GB RAM would allow to host e.g Gpt-Oss-120B or GLM-4.5-Air (quant) with almost full context¹.

¹ (go to huggingface.co/spaces/oobabooga/accurate-gguf-vram-calculator, paste huggingface.co/unsloth/gpt-oss-120b-GGUF/blob/main/gpt-oss-120b-F16.gguf into the calculator, set the context to full and see the (V)RAM consumption)

Intel's 1.8nm appears to be a total failure:

1. All potential customers (Apple, Qualcomm, etc) who tested Intel's 1.8nm left running to queue up at TSMC and Samsung despite the increased prices and long waiting times. Intel intself is using TSMC for critical components (iGPU, and many CPU tiles still).
2. Intel's Panther Lake 1.8nm CPU efficiency is equal to 4nm TSMC's.
3. In few months Zen 6 is released (already in production for EPYC) and Intel will be trailing again for years.

The only thing Intel is good at, is spending taxpayers money by receiving huge subsidies (just received another $150 billion from Pentagon) instead of these money going to better education or health care so future generations can be better educated and compete internationally!