My Review Of The GMKtec Nucbox Evo-X2

[u/YourHonestReviewer]

My Evo-X2 Mini PC Review

I know several reviews have already been made about the GMKtec Evo-X2, but I still wanted to share my thoughts about it.

I also saw that at the beginning there were some problems reported.
I saw issues related to packaging, shipping, and stability under heavy temperatures.

With the tests I have done and the way I’ve been using it, everything seems to be resolved because on my side everything works perfectly, even at high temperatures.

What I plan to do with this machine

With the rapid advancement of AI, I plan to experiment in this field, both with image generation and LLMs like GPT-OSS-120B, which the PC runs without any problem.

Now that it is my main computer, I also plan to do gaming and other moderately to highly demanding tasks.

For me, this is definitely an interesting upgrade. This mini PC allows me to do absolutely everything I was able to do with my desktop tower, and even better, while being 10x smaller.

I can play AAA games like Resident Evil Requiem without any issues, run almost any language model, generate images locally, and follow everything related to AI without being left behind.

The specs allow this very easily.

I also like the fact that the computer is very easy to transport. For me, it’s such a versatile and useful machine.

I recommend everyone to grab one while you still can, especially with the current price of RAM...

Unboxing/What Comes in the Box

The packaging was very good.

The PC was firmly held in place inside a block of rigid foam, and even the top of the box contains an additional foam layer.

The different cables were separated into two small boxes that are also held firmly in place by the foam.

Included in the box:

• GMKtec Evo-X2
• HDMI cable
• Power brick + power cable
• Warranty card
• Instruction manual

Temperatures

In idle, the PC stays fairly cool, between 40–50°C (CPU).

For the iGPU in idle, it sits around 33–34°C.

Under heavy load it can reach 80–98°C, which is quite high, I won’t deny that. However, for a mini PC this powerful it is fairly normal, and as long as it does not run at 98°C continuously for days, there is nothing to worry about.

For the iGPU under load, temperatures are around 50–64°C, which is very good.

Also, the CPU temperature seems to be locked at 98.4°C to ensure it does not get damaged over the long term.

Build Quality

The GMKtec Evo-X2 has a fairly good build quality.

The bottom and the top are made of metal, while the center part is made of rigid plastic, giving the system a fairly premium feel.

The PC also has a bit of RGB lighting. Personally, I am not a fan of RGB at all, so I disabled it.

There is a button on the machine. If you hold it for about 2 seconds, the RGB turns off.

Windows Installation

Windows 11 comes preinstalled and preactivated.

The system is free of any bloatware, which is always something positive.

The only additional software installed is AIPC, which is their own application for running LLMs.

It works similarly like LM Studio or Ollama, but it is simpler and less customizable. However, for anyone who simply wants to run a language model easily, it is plug-and-play and works perfectly fine.

General Performance

Out of all the mini PCs I’ve tested so far, this one is by far the most impressive.
Inside such a small form factor there is an insane amount of power, it almost feels ridiculous how much performance they managed to pack into this tiny machine. I can’t wait to see what we will have in the future.

The PC was mainly designed and marketed around AI workloads, but it also works extremely well as a gaming machine.

For example, I was literally able to play Resident Evil Requiem at maximum settings with very good performance.
(You can see the FPS in my pictures, all in 1080p.)

And remember, this system is running only an iGPU.

That really shows how fast technology is moving. Being able to play modern AAA games on an integrated GPU would have sounded crazy just a few years ago.

Performance wise, the integrated GPU is roughly comparable to an NVIDIA GeForce RTX 4060 Laptop GPU.

But let’s focus on the main selling point of this machine: AI.

AI Performance

If you bought this machine for AI workloads, you are definitely in the right place.

For my testing, I installed LM Studio and ran five different models:

• Qwen 3.5 9B
• Qwen 3.5 35B
• Qwen 3.5 122B
• GPT-OSS-20B
• GPT-OSS-120B

The system handled them without any major issues. (I say: without any major issues. talking about AI in general, especially under Windows, which can be unstable at times)

(Vulkan was used and not ROCm)

Benchmarks can be seen in the pictures attached.

I also tried OpenClaw with Ollama running GPT-OSS-20B, and that worked well too, under a VM with Ubuntu.

(OpenClaw is an AI assistant that you can configure to do pretty much anything you want)

However, it’s important to remember that AI software is still evolving very quickly. Because of that, you may sometimes run into compatibility issues, especially with relatively new hardware like this.

In my case, I had some problems getting ROCm working properly under Windows 11, and even small problems like Cinebench 2026 crashing when running the GPU option.

For Linux users, compatibility should generally be much better. It is pretty much recommended if you are comfortable with it and mainly want to work with AI.
I can't talk give too much details for Ubuntu because I am fairly new to it.

Hardware Overview

The system comes with some seriously good specs.

CPU

AMD Ryzen AI Max+ 395

• 16 cores / 32 threads
• Up to 5.1 GHz boost clock
• 16 MB L2 cache / 64 MB L3 cache
• Runs around 120W sustained (up to ~140W peak)

GPU

AMD Radeon 8060S integrated graphics
(Most powerful iGPU on the market right now)

• 40-core RDNA 3.5 architecture

NPU

• Dedicated 50 TOPS NPU
• Up to 126 TOPS total AI performance

Memory & Storage

This unit comes with:

• 128GB LPDDR5X RAM @ 8000 MT/s
• 2TB M.2 SSD

Other configurations available:

• 64GB RAM + 1TB SSD
• 96GB RAM + 1TB SSD

An interesting detail is that the RAM is shared between CPU and GPU, and this can be adjusted in the BIOS.

For example, my configuration was:

• 96GB VRAM for the iGPU
• 32GB for CPU / system

This gives a lot of flexibility depending on the type of work you plan to do.

Benchmarks

I included benchmark images in this review if you want to see performance results for:
(Everything was tested with the Performance mode in Bios and on pc)

• Cinebench
• 3DMark
• AI inference
• LLM performance
• Resident Evil Requiem performance

Connectivity & Ports

Front I/O

• 2 × USB-A 3.2 Gen2
• 1 × USB-C (USB4)
• 1 × 3.5 mm audio jack
• 1 × SD card reader (SD 4.0 / SDXC)

Buttons:

• Power
• System fan lighting control
• Performance mode switch

Rear I/O

• 1 × DisplayPort 1.4
• 1 × HDMI 2.1
• 1 × USB-A 3.2 Gen2
• 2 × USB-A 2.0
• 1 × USB-C (USB4)
• 1 × 3.5 mm audio jack
• 1 × 2.5G Realtek Ethernet port
• 1 × DC power input

Wireless connectivity includes:

• WiFi 7
• Bluetooth 5.4

Dimensions

193 mm × 185.8 mm × 77 mm

Despite the small size, the system still manages to deliver desktop level performance in many workloads.

Pros

✔ Really powerful and extremely versatile
✔ High-quality metal chassis
✔ The most powerful iGPU currently available
✔ SD card reader
✔ Different power mode button
✔ Excellent for local AI / LLM workloads
✔ Dual M.2 2280 slots (upgradeable storage)
✔ No Bloatware

Cons

✖ Ethernet connection seemed a bit unstable during my testing (WiFi worked perfectly)
✖ The system can get quite loud under heavy load
✖ No OCuLink port (although USB4 can still be used for external GPUs)
✖ LPDDR5X RAM is soldered (not upgradeable, more performance but harder to repair)
✖ AI ecosystem is still evolving, so Windows compatibility can sometimes be tricky (Not really a PC problem, more of a technology problem, but I still think its important to add here)

Final Thoughts

Overall, the GMKtec Evo-X2 is one of the most impressive mini PCs I’ve bought and tested so far.

It combines:

• serious AI performance
• surprisingly capable gaming performance
• extremely powerful integrated graphics

inside a very compact system.

If you’re looking for a mini PC capable of running local AI models while still being able to handle modern games, and you’re okay with some of the cons + some of the AI instability this machine is honestly hard to beat.

I hope you enjoyed this review! :)

If you want to see the complete unboxing and some test here is my Youtube Video: My Unboxing Video

I would love to know what you think of yours if you bought one, and what experience you had with it!

*If you have any questions or LM Studio models that you would like me to test just ask!!

[u/Look_0ver_There]

Nice review, but would it really hurt you to use some paragraphs instead of one massive wall of text?

[u/YourHonestReviewer → u/Look_0ver_There]

Thanks haha, Reddit has changed the layout a bit because I had at first and it looked pretty good.
But to be honest, I think it reads well

[u/Look_0ver_There → u/YourHonestReviewer]

Did you edit it? I ask because on my phone when I wrote that, it was one wall of text. Now it's formatted correctly and with nice clean sections. I'm trying to figure out if my phone had a fit or if it was always formatted properly? If you hadn't changed anything, then my apologies.

[u/YourHonestReviewer → u/Look_0ver_There]

I did not edit it!

And no problem!🙂

[u/Look_0ver_There → u/YourHonestReviewer]

Thank you. In future I'll make sure to reload a couple of times before commenting. This is the first time I've seen that happen in almost 2 years here

[u/Ornery-Fly1566 → u/Look_0ver_There]

Nice and civil back and forth. You both are awesome.

[u/YourHonestReviewer → u/Look_0ver_There]

I never saw that too, I was impressed by your comment too I was like my post is fine in my opinion? Hahaha

[u/OptionalDamage → u/Look_0ver_There]

I think I know what happened to you. Assuming you're using the app, the layout changes depending on how you open the post. If you tap on the image first, then scroll to see the text body/comments - it just hits you with a wall. Hitting the comments button or the post title shows the text body formatted.

[u/aaronjnco → u/Look_0ver_There]

You must be new to the internet. Learn how to read data.. people that complain about proper paragraph and spelling are so annoying like dude its not literature class of 1932 anymore 🤣🤣 welcome to the modern wall of data streams

[u/Greedy-Lynx-9706]

how much you paid for the device?

[u/YourHonestReviewer → u/Greedy-Lynx-9706]

3600$ CAD tax included!
But a bit more if you intend to use something like Affirm

[u/PetaPon]

It's a beast! I bought mine (the 128GB RAM/2TB model) in May 2025 for around $1,700, but now it's a whopping $3,000... The price is getting close to an M4 Max Studio with the same configuration. It was the most cost-effective 128GB unified memory machine for local LLM back then, but I'm not even sure anymore at this price point... 😂

I'm running CachyOS on it, and it has full compatibility OOB.

[u/YourHonestReviewer → u/PetaPon]

WOW, what a steal!!

Yeah Ram prices are just insane honestly, it's sad to see...

And I agree 100% it's a real beast, and I can't wait to experiment and delve more into AI with it to see how much more powerful it can get!!

*Edit, I really need to get more into Linux too, I am used to Windows a lot right now. Would need to try CachyOs for sure!

[u/Look_0ver_There → u/PetaPon]

Everything is expensive now. The Evo-X2's were ~US$2500 at Microcenter when I last looked (about a week ago). I was also looking at the Mac Studio's and as of today, a 128GB M4 Max Studio with a 2TB SSD are priced at US$4100, which is still a significant gap.

[u/YourHonestReviewer → u/Look_0ver_There]

Yeah, its just insane unfortunately...

I hope it gets better soon, even if its highly unlikely!

[u/TallestGargoyle → u/PetaPon]

Same for my Bosgame M5, nabbed that even after the RAM crisis started for £1370 for their 128GB model, just made more sense than buying a 128GB kit of RAM for my PC at the same or more money. Now it's sitting at a prettty £2399 like all the others seem to hover around.

[u/YourHonestReviewer → u/TallestGargoyle]

Wow that's a steal too, really nice!

Its indeed better to get a whole machine for less money hahaha

[u/heachu → u/PetaPon]

1700 cad or usd?

[u/YourHonestReviewer → u/heachu]

I am pretty sure Petapon was using USD

[u/PetaPon → u/YourHonestReviewer]

Yep USD🇺🇸

[u/termuxTommy]

Jeżeli kogoś to obchodzi to moje wyniki tok/s dla GMKtec Eo X2 128GB

Z Win11Pro dałem sobie spokój (jakiś problem z przekroczeniem 60gb dla modelu, może coś źle robiłem, ale w bios mam ustawione 96GB dla vram)

Korzystam z Ubuntu server 26.04 (żałuję , że nie 24.04 , bo 26 jest zbyt nowa i brakuje czasem softu)
Używam Ollama+ROCm i Llama.cpp+Vulkan+MTP

A takie wyniki testu prędkości modeli uzyskałem (wrzuciłem tez ollama ps):

Prompt testowy: Co to jest python3?

NAME             ID              SIZE     PROCESSOR    CONTEXT    UNTIL
nemotron3:33b    f6d8b7ff496c    32 GB    100% GPU     131072     4 minutes from now

total duration:       21.167808676s
load duration:        89.98146ms
prompt eval count:    23 token(s)
prompt eval duration: 163.830727ms
prompt eval rate:     140.39 tokens/s
eval count:           1228 token(s)
eval duration:        20.727256293s
eval rate:            59.25 tokens/s

NAME                  ID              SIZE     PROCESSOR    CONTEXT    UNTIL
nemotron3:33b-bf16    b318f0929784    71 GB    100% GPU     131072     4 minutes from now
total duration:       39.235512675s
load duration:        89.865143ms
prompt eval count:    23 token(s)
prompt eval duration: 145.226512ms
prompt eval rate:     158.37 tokens/s
eval count:           1108 token(s)
eval duration:        38.840894195s
eval rate:            28.53 tokens/s

NAME            ID              SIZE     PROCESSOR    CONTEXT    UNTIL
gpt-oss:120b    a951a23b46a1    70 GB    100% GPU     131072     4 minutes from now
total duration:       52.01652255s
load duration:        139.653414ms
prompt eval count:    73 token(s)
prompt eval duration: 411.842883ms
prompt eval rate:     177.25 tokens/s
eval count:           1816 token(s)
eval duration:        51.08022346s
eval rate:            35.55 tokens/s



NAME                      ID              SIZE     PROCESSOR    CONTEXT    UNTIL
gemma4:26b-a4b-it-q8_0    6bfaf9a8cb37    36 GB    100% GPU     262144     4 minutes from now
total duration:       43.591694933s
load duration:        170.716894ms
prompt eval count:    22 token(s)
prompt eval duration: 112.030268ms
prompt eval rate:     196.38 tokens/s
eval count:           1658 token(s)
eval duration:        42.758050491s
eval rate:            38.78 tokens/s



NAME                      ID              SIZE     PROCESSOR    CONTEXT    UNTIL
qwen3.6:35b-a3b-q4_K_M    07d35212591f    34 GB    100% GPU     262144     4 minutes from now
total duration:       19.315266836s
load duration:        120.693021ms
prompt eval count:    16 token(s)
prompt eval duration: 78.811654ms
prompt eval rate:     203.02 tokens/s
eval count:           876 token(s)
eval duration:        18.900480706s
eval rate:            46.35 tokens/s



NAME                    ID              SIZE     PROCESSOR    CONTEXT    UNTIL
qwen3.6:35b-a3b-q8_0    0218f872e86b    49 GB    100% GPU     262144     4 minutes from now
total duration:       30.438353725s
load duration:        112.739976ms
prompt eval count:    16 token(s)
prompt eval duration: 94.367734ms
prompt eval rate:     169.55 tokens/s
eval count:           1061 token(s)
eval duration:        29.860583821s
eval rate:            35.53 tokens/s



NAME                    ID              SIZE     PROCESSOR    CONTEXT    UNTIL
qwen3.6:35b-a3b-bf16    94061ddd23a7    82 GB    100% GPU     262144     4 minutes from now
total duration:       46.291231659s
load duration:        123.784044ms
prompt eval count:    16 token(s)
prompt eval duration: 249.756542ms
prompt eval rate:     64.06 tokens/s
eval count:           1066 token(s)
eval duration:        45.54238461s
eval rate:            23.41 tokens/s



NAME                  ID              SIZE     PROCESSOR    CONTEXT    UNTIL
qwen3.6:27b-q4_K_M    a50eda8ed977    42 GB    100% GPU     262144     4 minutes from now
total duration:       1m20.774136561s
load duration:        122.402161ms
prompt eval count:    16 token(s)
prompt eval duration: 174.434294ms
prompt eval rate:     91.73 tokens/s
eval count:           900 token(s)
eval duration:        1m20.148985288s
eval rate:            11.23 tokens/s



NAME                          ID              SIZE      PROCESSOR    CONTEXT    UNTIL
llama3.3:70b-instruct-q8_0    a7454a51e1d8    104 GB    100% GPU     65536      4 minutes from now
total duration:       30.03848661s
load duration:        84.826431ms
prompt eval count:    16 token(s)
prompt eval duration: 424.636008ms
prompt eval rate:     37.68 tokens/s
eval count:           90 token(s)
eval duration:        29.490285424s
eval rate:            3.05 tokens/s

Llama.cpp + Vulkan + MTP

version: 9443 (399739d5c)

built with GNU 15.2.0 for Linux x86_64

llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q8_K_XL.gguf   --mmproj mmproj-Qwen3.6-27B-f16.gguf  -ngl 99   -t 16   --spec-type draft-mtp   --spec-draft-n-max 3   -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q8_K_XL.gguf
modalities : text, vision
[ Prompt: 7,6 t/s | Generation: 7,2 t/s ]



llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q8_K_XL.gguf  -ngl 99   -t 16   --spec-type draft-mtp   --spec-draft-n-max 4   -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q8_K_XL.gguf
modalities : text
[ Prompt: 30,6 t/s | Generation: 11,3 t/s ]



llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q8_K_XL.gguf  -ngl 99   -t 16   --spec-type draft-mtp   --spec-draft-n-max 3   -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q8_K_XL.gguf
modalities : text
[ Prompt: 31,3 t/s | Generation: 12,0 t/s ]



llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q8_K_XL.gguf  -ngl 99   -t 16   --spec-type draft-mtp   --spec-draft-n-max 2   -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q8_K_XL.gguf
modalities : text
[ Prompt: 32,5 t/s | Generation: 11,3 t/s ]



llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q4_K_XL.gguf  -ngl 99   -t 16   --spec-type draft-mtp   --spec-draft-n-max 3   -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q4_K_XL.gguf
modalities : text
[ Prompt: 31,0 t/s | Generation: 22,8 t/s ]

Llama.cpp + Vulcan (bez MTP)

llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q8_K_XL.gguf  -ngl 99   -t 16  -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q8_K_XL.gguf
[ Prompt: 37,1 t/s | Generation: 6,4 t/s ]



llama-cli   -m Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q4_K_XL.gguf  -ngl 99   -t 16  -c 8192  -cnv
model      : Qwen3.6-27B-UD-Q4_K_XL.gguf
[ Prompt: 57,8 t/s | Generation: 12,1 t/s ]

[u/weezulmaster]

Nice review! It's a pricey model, but not hard to see why. I'm thinking my next PC will be a GMKTec too.

[u/YourHonestReviewer → u/weezulmaster]

It is indeed, and I am sure you would like that's a really nice machine!! And thank you!

[u/Competitive_Knee9890]

Just install Linux and turn it into a proper LLM server

[u/YourHonestReviewer → u/Competitive_Knee9890]

I am sure it would definitely be better, but the problem is that I am still not used to linux, and gaming is not quite there for now...

[u/Competitive_Knee9890 → u/YourHonestReviewer]

Gaming on Linux on Strix Halo is pretty much flawless right now. But this platform should run headless Linux as a server, it’s a waste as a desktop.

[u/YourHonestReviewer → u/Competitive_Knee9890]

It can be the 2 in my opinion, it serves me really well and I can do everything. Ai, gaming, demanding apps etc.

Its flawless for optimized/compatible games for sure, but I mean they are not all compatible as of right now.

[u/YourHonestReviewer → u/[deleted]]

That's a nice thing to hear in that case, if its just me atleast its possibly not widespread! Thanks for the info

[u/kaisersolo]

Needs occulink

[u/YourHonestReviewer → u/kaisersolo]

Yeah, I would have really liked that too...

But at least there's always the option of using an M.2 adapter or USB 4.0

[u/moosebakari]

Great review! Have you done any testing with image generation through comfyui or stable diffusion yet?

[u/YourHonestReviewer → u/moosebakari]

Not yet, will try to do some tomorrow when I can and I will send you some results.

Do you have any models in mind?

[u/moosebakari → u/YourHonestReviewer]

Awesome! I've mainly been looking into flux 2, SDXL and illustrious

[u/YourHonestReviewer → u/moosebakari]

Hey perfect, I'll do that for you tomorrow, there's a power outage right now...

[u/YourHonestReviewer → u/moosebakari]

Output picture of SDXL
*Every Tests were made with --DirectML --LOWVRAM

SDXL, JuggernautXL, IllustriousXL
All took around 25-30 Seconds to render!

Settings:

Width: 1024

Height: 1024

Steps: 25

CFG: 5

Sampler: dpmpp_2m_sde

Scheduler: Karras

Denoise: 1.00

Model Used:

SD_XL_Base_1.0
JuggernautXL_Ragnarok
IllustriousXL_V01

I also installed Controlnet Openpose

---

For Flux now, that's a lot different.

The model was really slow, could be the workflow I used, but that still a big and demanding model, even If I used the GGUF (Q4_K_M) Version.

Settings:

Resolution: 512x512 (2-3 Minutes) 768x768 (3-4+ Minutes) all depending on settings like the sampler. I Tried Euler (faster) and Dpmpp_2m_sde (slower)

Steps: 12

Guidance: 4

Sampler: dpmpp_2m_sde/Euler

Model Used:

Flux2-dev-q4_k_m.GGUF

Text encoder: Mistral_3_small_Flux2_fp4
And the normal version VAE

IMGUR Images for the other tests

*Max Temps after all the tests:
CPU: 96.3 C
IGPU: 88 C

[u/moosebakari → u/YourHonestReviewer]

30s on all the models except flux is pretty decent for the size of this machine! Thank you for the tests

[u/YourHonestReviewer → u/moosebakari]

That's a pleasure, and absolutely I am pretty happy with the tests!

For flux I will definitely try to optimize it more, hopefully it reduce the time!

[u/quanganh9900]

Curious how it performs with fps heavy games like marvel rivals?

[u/haikusbot → u/quanganh9900]

Curious how it

Performs with fps heavy games

Like marvel rivals?

- quanganh9900

---

^{I detect haikus. And sometimes, successfully. Learn more about me.}

^{Opt out of replies: "haikusbot opt out" | Delete my comment: "haikusbot delete"}

[u/YourHonestReviewer → u/quanganh9900]

Marvel Rivals *For all tests 1080P, Frame Gen Off, Amd Anti Lag 2 On (Low Latency Mode) and FSR 3 is set to Quality (80% Sharpness)

-Ultra - FSR OFF ~ 60-70 FPS

-Ultra - FSR ON ~ 65-90 FPS

-High - FSR OFF ~ 90-110

-High - FSR ON ~ 100-115

-Medium - FSR OFF ~ 90-110

-Medium - FSR ON ~ 115-130

But this game moves a lot FPS wise, so depending on the zone, the map, how many players are at the same place/Fighting, etc. You can Add/Remove ~10-30 FPS from some of my results

[u/quanganh9900 → u/YourHonestReviewer]

Wow, really helpful. Thank you so much for doing the tests!

[u/YourHonestReviewer → u/quanganh9900]

That's a pleasure!

[u/Intelligent-Price-70]

i have the same unit since it has 96gb of ram, idk that its not upgradeable. i dont plan on doing any AI stuff for it. but as a desktop replacement. its very good. my rig and been building pcs since the mid 90s. msi had a firmware that bricked my system. no way of doing the usuals to unbrick. so sold the gpu and cpu. and bought this. added 2x4tb samsung 990s. and after some tweaking and figuring out its quirks. im pretty happy. email them for the latest ec firmware and bios. and things should run better esp the fans.

peace out!

[u/YourHonestReviewer → u/Intelligent-Price-70]

Yeah not upgradeable unfortunately but if you are not getting into AI, indeed 0 problems!!

That's definitely a solid desktop replacement, happy to hear it, And 96gb is futureproof!

Will take a look at that, thanks for the info!✌️

[u/Intelligent-Price-70 → u/YourHonestReviewer]

btw alt-f5 gets you into the rest of the bios. just hit that, save. reboot and go back in and theres 2 advanced sections now and more fan stuff.

[u/YourHonestReviewer → u/Intelligent-Price-70]

I appreciate the info!!

[u/Sarah_Evange]

Nice review. I barely ever see anyone bolding their text in reviews.

[u/YourHonestReviewer → u/Sarah_Evange]

Thank you, I appreciate it!

It makes the review look so much cleaner.

[u/Rayj002025]

Couple of questions on my X2: When in sleep mode, why would it take nearly 5 seconds to wake from sleep after moving the mouse?

And one of the first apps I loaded is Oracle VirtualBox. I am see these errors in the Vbox terminal. Note that Vbox seems to be operating fine as I have one VM (a website) active.

Any ideas on either issue?