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expiredDr.W posted May 22, 2026 03:42 PM

Refurb/Excellent: ASUS ROG Flow Z13: 13.4" QHD+ 180Hz IPS Touch, Ryzen AI MAX+ 395, 128GB LPDDR5X, 1TB SSD, Win 11 Pro $2449.99

$2,450

$3,300

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Sold by ItsWorthMore via eBay:"Device is 100% fully functional and in Excellent physical condition. The device is in near-perfect, if not perfect condition. At a 9.5/10 or better, we regard this device as like new with minimal or no signs of wear."

https://www.ebay.com/itm/29792926...5000006407
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Sold by ItsWorthMore via eBay:"Device is 100% fully functional and in Excellent physical condition. The device is in near-perfect, if not perfect condition. At a 9.5/10 or better, we regard this device as like new with minimal or no signs of wear."

https://www.ebay.com/itm/29792926...5000006407

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17 Comments

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May 22, 2026 05:34 PM
403 Posts
Joined Nov 2019
StinktoothMay 22, 2026 05:34 PM
403 Posts
Not everything is for me, but I don't understand the allure of this. It's like a super powerful 13" tablet with a flimsy keyboard and probably not great battery life. Its igpu is equivalent to a 3060 or 4060, and it cost over $1700 after tax? You could build a really nice desktop for that.
4
May 22, 2026 05:40 PM
137 Posts
Joined Feb 2017
JasonD1523May 22, 2026 05:40 PM
137 Posts
Quote from Stinktooth :
Not everything is for me, but I don't understand the allure of this. It's like a super powerful 13" tablet with a flimsy keyboard and probably not great battery life. Its igpu is equivalent to a 3060 or 4060, and it cost over $1700 after tax? You could build a really nice desktop for that.
it's for running A.I. locally instead of paying for cloud tokens. the 8060s shares video memory with RAM, and at 128gb of ram, you can run 80-100billion point models (the whole model needs loaded into VRAM at once). it'll be slower responses than a cloud solution, but it beats a noisy $8000-$14000 rackmount server. it just so happens to be a capable entry level gaming machine too (at a not entry level price).
2
May 22, 2026 05:42 PM
137 Posts
Joined Feb 2017
JasonD1523May 22, 2026 05:42 PM
137 Posts
Quote from JasonD1523 :
it's for running A.I. locally instead of paying for cloud tokens. the 8060s shares video memory with RAM, and at 128gb of ram, you can run 80-100billion point models (the whole model needs loaded into VRAM at once). it'll be slower responses than a cloud solution, but it beats a noisy $8000-$14000 rackmount server. it just so happens to be a capable entry level gaming machine too (at a not entry level price).
also i just got one 2 weeks ago, and on default power settings it benchmarks about 15% lower 3d graphics than the same chipset in a small formfactor/embedded desktop pc, so even more limited use case.
1
1
May 22, 2026 10:53 PM
228 Posts
Joined Jan 2021
Will_RMay 22, 2026 10:53 PM
228 Posts

Our community has rated this post as helpful. If you agree, why not thank Will_R

Quote from Stinktooth :
Not everything is for me, but I don't understand the allure of this. It's like a super powerful 13" tablet with a flimsy keyboard and probably not great battery life. Its igpu is equivalent to a 3060 or 4060, and it cost over $1700 after tax? You could build a really nice desktop for that.
The 3060 and 4060 with 12GB or 16GB VRAM don't come anywhere close to the 8060S with variable VRAM size up to 96GB. That is the allure. That's it. It's not about gaming or FPS. It's about running larger LLMs anywhere with low power/high efficiency.

It's much more sensible to compare it to a $4k-$6k Mac Studio w/ 96GB of unified memory instead of either a desktop or laptop with a xx60 series card.
1
May 23, 2026 12:13 AM
1,116 Posts
Joined Apr 2008
sr27May 23, 2026 12:13 AM
1,116 Posts
Quote from Will_R :
The 3060 and 4060 with 12GB or 16GB VRAM don't come anywhere close to the 8060S with variable VRAM size up to 96GB. That is the allure. That's it. It's not about gaming or FPS. It's about running larger LLMs anywhere with low power/high efficiency.It's much more sensible to compare it to a $4k-$6k Mac Studio w/ 96GB of unified memory instead of either a desktop or laptop with a xx60 series card.
This right here. A comparable Mac easily sets you around 5k
1
May 23, 2026 02:09 AM
102 Posts
Joined Aug 2014
chinoyuMay 23, 2026 02:09 AM
102 Posts
Asus Rog ALWAYS breaks. Crap brand
1
7
May 23, 2026 04:28 AM
245 Posts
Joined Sep 2008
maggiemay000May 23, 2026 04:28 AM
245 Posts
Smaller llm models <40B will run at decent spends comparable to older gpus on this with full context. You can run larger models >70B parameters but it will be slow <20t/s with significantly reduced context. The larger the context window, the slower the token generation speed, so with an actually usable context size, you're looking at <10t/s. You might get faster generation with older models like GPT-OSS 120B but newer, smaller models like Qwen3.6 27B will probably perform much better in areas like coding. For the price, the 48GB macbook might be a better option if you're looking to run local llm on a portable device. Of course you'll be running linux on this device if you're focused on inferencing. However for running smaller llm models, productivity, portable gaming, image editing, light video production or all of the above, this can't be beat
1
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May 23, 2026 05:36 AM
422 Posts
Joined Dec 2019
fluffyboiMay 23, 2026 05:36 AM
422 Posts
Quote from chinoyu :
Asus Rog ALWAYS breaks. Crap brand
you mean HP, Asus is a step better than HP, Asus has the horrible thermal
May 24, 2026 06:38 AM
6 Posts
Joined Jun 2022
ShrewdPenguin8646May 24, 2026 06:38 AM
6 Posts
Quote from JasonD1523 :
also i just got one 2 weeks ago, and on default power settings it benchmarks about 15% lower 3d graphics than the same chipset in a small formfactor/embedded desktop pc, so even more limited use case.
Do you think a mini pc with the same chipset connected to a EGPU via oculink would outperform this?
1
May 25, 2026 07:58 AM
33 Posts
Joined Jan 2020
rabbitrepairMay 25, 2026 07:58 AM
33 Posts
Quote from fluffyboi :
you mean HP, Asus is a step better than HP, Asus has the horrible thermal
I've RMAd my Z13 2022 model once already and had to replace the SSD twice. RMA due to burned out motherboard after 2 weeks of use.
May 25, 2026 11:34 PM
30 Posts
Joined Jun 2021
LavenderSeagull4019May 25, 2026 11:34 PM
30 Posts
Quote from JasonD1523 :
it's for running A.I. locally instead of paying for cloud tokens. the 8060s shares video memory with RAM, and at 128gb of ram, you can run 80-100billion point models (the whole model needs loaded into VRAM at once). it'll be slower responses than a cloud solution, but it beats a noisy $8000-$14000 rackmount server. it just so happens to be a capable entry level gaming machine too (at a not entry level price).
this thing can only hit 40 tokens/s when loading small model, if you put a 70b model in to the ram, it will be 5 t/s or so, I won't be serious about running AI on this.
May 26, 2026 02:00 AM
281 Posts
Joined Nov 2018
TonyO6477May 26, 2026 02:00 AM
281 Posts
Quote from Will_R :
The 3060 and 4060 with 12GB or 16GB VRAM don't come anywhere close to the 8060S with variable VRAM size up to 96GB. That is the allure. That's it. It's not about gaming or FPS. It's about running larger LLMs anywhere with low power/high efficiency.It's much more sensible to compare it to a $4k-$6k Mac Studio w/ 96GB of unified memory instead of either a desktop or laptop with a xx60 series card.
No it does not compare to that all. I had it. It's garbage and why it dropped in price 2 weeks after it came out.
May 26, 2026 05:14 PM
228 Posts
Joined Jan 2021
Will_RMay 26, 2026 05:14 PM
228 Posts
Quote from TonyO6477 :
No it does not compare to that all. I had it. It's garbage and why it dropped in price 2 weeks after it came out.
Those 2 (this tablet and any Mac) are more comparable in what they can do but agreed for not comparable as to how quickly they can do it. You simply can't load even a 30B model onto a 3060 or 4060 at all.
May 27, 2026 11:22 PM
38 Posts
Joined Feb 2021
CreakingSpigotMay 27, 2026 11:22 PM
38 Posts
Quote from LavenderSeagull4019 :
this thing can only hit 40 tokens/s when loading small model, if you put a 70b model in to the ram, it will be 5 t/s or so, I won't be serious about running AI on this.
I have the 64GB version (framework desktop) and running Gemma 4 26B at 60tok/s it's pretty good for simple AI tasks that don't require deep thinking. It's certainly not up there with frontier models, but the progress local LLM models have been making is quite impressive. Once ChatGPT/Anthropic start charging API rates ($8,000/mo instead of $200/mo) local LLMs might be the only option for most people.

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May 28, 2026 03:57 AM
2 Posts
Joined Apr 2025
GreyWealth6361May 28, 2026 03:57 AM
2 Posts
Folks, do your homework before making a fool judgement. The AMD AI 395 Max is a 16‑core, full‑performance Zen 5 CPU, essentially a 9950X equivalent processor paired with a RTX 4070 mobile equivalent GPU and 128GB of DDR5X‑8000 RAM. When you put that into a high‑quantity, tablet‑style form factor with stunning power efficiency for both AI workloads and gaming, what do you think it's worth?

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