Product Description
Behold the ASUS Ascent GX10 Personal AI Supercomputer, a revolutionary force echoing the power of NVIDIA DGX Spark with its cutting-edge NVIDIA GB10 Superchip. Unleashing petaflop-scale AI on your very desktop, this marvel ignites the potential of developers, AI researchers, and data scientists, fostering local AI breakthroughs with unparalleled performance and ingenuity.
Product information
| Operating System | NVIDIA DGX OS |
|---|---|
| Specific Uses For Product | AI Development, AI Research, Machine Learning |
| Personal Computer Design Type | Mini PC |
| Color | Stellar Gray |
| Additional Features | 128GB RAM, NVIDIA ConnectX-7 SmartNIC, NVIDIA GB10 Superchip, Stackable Magnetic Feet, Ubuntu Linux OS |
| Hard Disk Description | SSD |
| Hardware Interface | Bluetooth 5, Ethernet, HDMI, USB 3.2 Gen 2×2 |
| Power Consumption | 240 Watts |
| Item Dimensions | 5.91 x 5.91 x 2.01 inches |
| Item Weight | 3.3 Pounds |
| Video Output Interface | HDMI |
| Hard Disk Interface | PCIE x 4 |
| Style Name | NVMe SSD |
| Cooling Method | Fan |
| Compatible Devices | Keyboard, Monitor, Mouse |
| Power Plug Type | Type B - 3 pin (North American) |
| Video Output | HDMI |
| Graphics Description | Dedicated Nvidia Graphics |
|---|---|
| Graphics Coprocessor | Blackwell GPU |
| Graphics Card Ram | 128 GB |
| Graphics Ram Type | Shared |
| Graphics Card Interface | PCI Express |
| Processor Series | Cortex |
|---|---|
| Processor Speed | 3.8 GHz |
| Processor Count | 1 |
| CPU Model Speed Maximum | 4 GHz |
| Total Usb Ports | 4 |
|---|---|
| Total Number of HDMI Ports | 1 |
| Number of Component Outputs | 1 |
| Human-Interface Input | Buttons |
|---|---|
| Keyboard Description | No physical keyword |
Warranty & Support
Feedback
| Brand | ASUS |
|---|---|
| Model Number | GX10-GG0010BN |
| Model Name | GX10-GG0010BN |
| Built-In Media | GX10-GG0010BN, Power Adapter, Power Cord |
| Processor Brand | NVIDIA |
| Model Year | 2026 |
| CPU Model Number | GB10 |
| Warranty Description | 1 Year Manufacturer |
| Video Processor | NVIDIA |
| UPC | 199291183124 |
| Manufacturer | ASUS |
| Best Sellers Rank |
|
| ASIN | B0G1MQYHRD |
| Customer Reviews |
4.3 out of 5 stars |
| Cache Memory Installed Size | 128 GB |
|---|---|
| Memory Storage Capacity | 128 GB |
| RAM Memory Installed | 128 GB |
| RAM Memory Technology | LPDDR5x |
| Ram Memory Maximum Size | 128 GB |
| Memory Speed | 6400 MT/s |
| RAM Type | DDR5 RAM |
| Memory Clock Speed | 8533 MHz |
| Display Resolution Maximum | 3840x2160 Pixels |
|---|---|
| Display Type | No Display |
| Aspect Ratio | 16:9 |
| Resolution | 4K |
| Native Resolution | 3840 x 2160 |
| Connectivity Technology | 10G LAN, Bluetooth 5.4, HDMI, USB, Wi-Fi 7 |
|---|---|
| Wireless Compability | 802.11.be, Bluetooth |
| Wireless Technology | Bluetooth, Wi-Fi |
From the manufacturer
ASUS Ascent GX10 AI Supercomputer
Compact, Powerful, and Scalable
ASUS Ascent GX10, accelerated by the NVIDIA GB10 Grace Blackwell Superchip and AI software stack, delivers a full-stack agentic AI platform to securely build, run, and deploy autonomous AI agents locally, supporting frameworks like OpenClaw and Hermes Agent.
-
Secure & Scalable Agentic AI with NVIDIA NemoClaw
ASUS Ascent GX10 with NVIDIA NemoClaw enable safe, local, and scalable autonomous agents.
-
Up to 1 petaFLOP of AI performance using FP4
Delivers exceptional AI performance, enabling seamless handling of large AI workloads.
-
128 GB LPDDR5x Coherent Unified System Memory
Empowers model development, experimentation, and inferencing with ample memory capacity.
-
Precision-Crafted for Ultimate Thermal Efficiency
ASUS Ascent GX10 handles demanding AI with dual-fan cooling and 1.6× better thermal efficiency.
-
Double the Power with Two ASUS Ascent GX10 Units
Delivers 2 petaFLOPs, 256GB memory, 405B parameter support, and up to 8TB storage.
Revolutionary AI Performance on Your Desktop
Prototyping
Fine Tuning / Inference
Data Science
Edge Application
Handles Large Parameter Gen AI Models
Support for AI Models 200 Billion Parameters
Prototype, fine tune, and infer the latest AI reasoning models directly on your desktop.
Integrated NVIDIA ConnectX-7 Network Technology
Link two ASUS Ascent GX10 systems to handle even larger models, such as Llama 3.1 with 405 billion parameters.
Local Development, Scalable Deployment
Seamless Transition to Cloud
Leverage NVIDIA AI platform software architecture to move models from desktop environments to DGX Cloud or any accelerated cloud or data center infrastructure with minimal code adjustments.
NemoClaw Enables AI Agent Automation
ASUS Ascent GX10 turns it into a fully local AI system with predictable cost, enterprise-grade stability, and zero data exposure.
What"s in the box
Top Brand: ASUS
Customer reviews
ASUS Ascent GX10
Merchant Video
ASUS Ascent GX10 AI Supercomputer
Compact, Powerful, and Scalable
ASUS Ascent GX10, accelerated by the NVIDIA GB10 Grace Blackwell Superchip and AI software stack, delivers a full-stack agentic AI platform to securely build, run, and deploy autonomous AI agents locally, supporting frameworks like OpenClaw and Hermes Agent.
-
Secure & Scalable Agentic AI with NVIDIA NemoClaw
ASUS Ascent GX10 with NVIDIA NemoClaw enable safe, local, and scalable autonomous agents.
-
Up to 1 petaFLOP of AI performance using FP4
Delivers exceptional AI performance, enabling seamless handling of large AI workloads.
-
128 GB LPDDR5x Coherent Unified System Memory
Empowers model development, experimentation, and inferencing with ample memory capacity.
-
Precision-Crafted for Ultimate Thermal Efficiency
ASUS Ascent GX10 handles demanding AI with dual-fan cooling and 1.6× better thermal efficiency.
-
Double the Power with Two ASUS Ascent GX10 Units
Delivers 2 petaFLOPs, 256GB memory, 405B parameter support, and up to 8TB storage.
Revolutionary AI Performance on Your Desktop

Prototyping

Fine Tuning / Inference

Data Science

Edge Application
Handles Large Parameter Gen AI Models

Support for AI Models 200 Billion Parameters
Prototype, fine tune, and infer the latest AI reasoning models directly on your desktop.

Integrated NVIDIA ConnectX-7 Network Technology
Link two ASUS Ascent GX10 systems to handle even larger models, such as Llama 3.1 with 405 billion parameters.
Local Development, Scalable Deployment

Seamless Transition to Cloud
Leverage NVIDIA AI platform software architecture to move models from desktop environments to DGX Cloud or any accelerated cloud or data center infrastructure with minimal code adjustments.

NemoClaw Enables AI Agent Automation
ASUS Ascent GX10 turns it into a fully local AI system with predictable cost, enterprise-grade stability, and zero data exposure.

What's in the box
Top Brand: ASUS
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Customer reviews
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Best value for this platform right now.
Top reviews from the United States

Eric5 out of 5 starsHidden Gem and The Best of The Lineup
Reviewed in the United States on May 14, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.I want to say that the review by Regular Person hit the nail on the head, and I totally forgot about running this headless, and now I am. Thank you.
I want to add to their review by saying that the negative reviews by influencers early on are a blessing in disguise if you are trying to look at other computers for anything shared memory 128gb+. This is available and I feel lucky to have picked not only a GB10 but my favorite brand ASUS.
No one is talking about the build quality of ASUS. All I can say is do your own research and see that ASUS built this from scratch, it is not reference with a few extra things. I am a fan of the ASUS TUF line and ROG. This is because they use top notch parts/pieces that are military spec and last longer than you need. This unit is exactly that. They designed and made their own board, and the parts are all high quality for this unit to be certified MIL-STD 810H. The cooling is also all their own design. Don't take my word, look it up.
I'm not in IT or computer science, I'm an enthusiast. If you are like me, then I highly recommend having something like Google Gemini Pro ready when you begin the startup. My hand was held the entire time during the setup, and let me tell you, I could not have set this up the way I wanted without using another AI for all my dumb questions. I almost had a heart attack on the very first major update when it was supposed to reboot and didn't. Gemini told me to wait up to 25 minutes before pressing the power, and I followed the recommendations to the T.
I am super excited to begin my new supercomputer journey with Hermes, Deepseek as of today and ready to start building and sharing my journey for others to see. I have never seen technology advance like AI is doing and developing faster and faster, so fast I moved beyond subscriptions, and my video card opensource models. Hopefully I can make this profitable, as that is what I told my wife in order to justify the purchase.
Enjoy everyone!
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Milan R.5 out of 5 starsLocal AI
Reviewed in the United States on May 14, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.Got 2 of them and use them for local ai inference and training. They are nice, get some heat on long runs but pretty stable. It is not super fast but still good for LLMs and ComfyUI
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Regular Person5 out of 5 starsReliable and stable, getting better every week
Reviewed in the United States on May 1, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.I think it is important to note that many reviews on the Grace Blackwell machines that are from late 2025 or early 2026 may not apply anymore. This runs the Nvidia Ubuntu operating system, and Nvidia has really been great about fixing a lot of problems the system had in running this very different architecture when it was first released.
This is my 2nd system. These systems are getting more and more pleasant to own and use every week - support for them is growing in the opensource world, and NVIDIA is pushing out docker containers that are ready made to do many things well if you choose that path- they offer playbooks with easy step by step instructions that make it seem more like you are getting great software custom made for these new architectures in addition to a great machine for the price you pay.
I was a bit disappointed that adding the $$$ cable and clustering 2 together didn't really give me the one combined machine I'd hoped for, but I do like my current set up. (It worked fine,and let me run a huge model, but it just wasn't optimal for my use to do so.) On this machine, I am only using it for inference. I am running VLLM on it, currently with Qwen 3.6 31B but it's always available. I have ran larger models on it, but this seems to be the sweetspot for me with the agentic systems that connect to it. I hardly ever go past 65% system memory I have room to grow but system availability is WONDERFUL if I don't consider reboots due to system upgrades.
Do expect FREQUENT UPDATES. Nvidia has been pushing updates almost daily - sometimes multiple times a day, and they all require reboot.
The NVIDIA sync program works great for this machine. I run mine headless - you can set it up headless too if you like. I did, and didn't have a bit of trouble. I do suggest that you go ahead and make a repair boot-able USB disk - you can get that on the NVIDIA site. This is NOT regular Ubuntu.
I am disappointed by people posting negative reviews that buy these systems for gaming. They are NOT for gaming natively. These are AI machines. This will keep your inference in-house if that's what you want - one is enough to power a small business with inference with a model that is good at tool call, and vision.
Whether or not you should get a 1tb or a 4tb one depends a bit on how you are going to use it. I have one with 4tb that I use for storing multiple models, but I got this one with 1tb because it is only ever going to run 1 model and vllm. 1tb is more than enough to store a few models and vllm. It depends on your use case. I'd get the 4 if I wanted to do more like generative work with diffusion models, comfy-UI/voice/ music. I do those things on my 4tb and run Ollama too, but if you are going to run multiple services like that, even though you have the HUGE combined memory pool, you still have to think about how you are going to allocate and time resource use.
The graphics look great running generative text or image to video. Video is smooth as can be.
It handles heat well - but inference is HOT. I highly recommend that you do NOT point the backside at you - it can be like having a small space heater right next to you. I learned that the hard way.I have mine on a stainless steel commercial kitchen table and that is VERY helpful if you have more than one of these running. It's not as bad if they are not always available. Just remember, inference is HOT. If they get too hot, they will go into thermal throttling. I find they really do need a cool room, and good airflow for optimal operation.
There's more than enough ports, but they are a bit tight. I do like the power button on the front. They use a regular Ethernet port, and have wireless capability built in.
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Jackson Lim3 out of 5 starsOnly for researchers - not inference, not small scale fine tuning
Reviewed in the United States on May 19, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.I thought this box would be the solution to the Mac studio drought, but it was far from it.
Inference is bottlenecked by decoding which is extremely slow for this device's memory bandwidth.
I gave up on inference and started using it fine tune. While it is low profile / noise / power, speeds of small scale fine tuning were outpaced by a RTX3090.
Depsite the high compute, there is no good way to utilize them as a consumer focused on small scale fine tuning and LLM inference. I tried to explore all the options to utilize the GX10, but none of the performance for my use cases justified the price tag.
It is a cool device and useful for researchers working on Blackwell development and prototyping, but it was not a good fit for me and probably a lot of people looking for consumer local/private AI for work. At least not worth this price.
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jeffm5 out of 5 starsAsus Ascent GX10 1TB Review
Reviewed in the United States on May 27, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.Good Products, Value for Money
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Alexei Eleusis Díaz Vera5 out of 5 starsGood for local inference
Reviewed in the United States on May 16, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.It's only been a week, but I love it. I managed to automate some development tasks and it ran several days without needing my intervention. According to it's own reported energy consumption it is efficient, even if produces only a few tokens per second, but it is consistent with the reviews I saw online before buying it.
I imagine people buying a computer like this will do some research beforehand, and I think you get exactly what you expect. The only thing I can't talk about is durability.
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Thomas O'Brien5 out of 5 starsGreat little ai dev computer
Reviewed in the United States on May 18, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.Amazing little dev computer. It’s so great for comfyUI workflows and testing huge models. It’s not the best for using as a chat bot machine but it excels at a lot of things I can’t even load on my gpus
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M Castle2 out of 5 starsOk but powers off under moderate training load
Reviewed in the United States on January 6, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.Pretty good if you need to run basic inference. And very light training jobs. Thermal limits, I think, prevents this unit for any moderate training workloads. For example a 7B mistral and 8B llama fine tuning failed with moderate data and moderate network size. Plenty of memory to spare, but the unit powers off suddenly. Until these issues are fixed I don’t recommend for LLM fine tuning.
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Top reviews from other countries

Matthew Cornelisse5 out of 5 starsQuiet and effective.
Reviewed in Canada on May 28, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.I was very surprised just how quiet it is. Machine works extremely well for batched infrance, draws little power, and responds reasonably quick considering its limited bandwidth.
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stevenhu5 out of 5 starsAI development setup is easy
Reviewed in Canada on June 6, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.Delivery fast.
Installation and configuration are good.
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dave lajoie1 out of 5 starsDead on Arrival : Kernel Panic
Reviewed in Canada on May 21, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.I booted the Asus Ascend GX10, and got a kernel panic, and now the machine would not even boot up.
what a great user experience. I currently attempting to re-install the DG OS and update the firmware...
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Eugene Chan1 out of 5 starsUsed item
Reviewed in Canada on May 18, 2026Size: 1TB PCIe 4.0 NVMe SSDStyle: NVMe SSDVerified PurchaseBrief content visible, double tap to read full content.Full content visible, double tap to read brief content.Had to return item as package was opened and server log said item was booted up and ran for 319 days from July 2. The uptime stopped 7 days before I received item. So someone returned an old server. Shame on you.
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