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ASUS Ascent GX10 AI Supercomputer
Compact, Powerful, and Scalable
The ASUS Ascent GX10, accelerated by the NVIDIA GB10 Grace Blackwell Superchip and the NVIDIA AI software stack, provides a full-stack solution for AI development and deployment.
-
Up to 1 petaFLOP of AI performance using FP4
Delivers exceptional AI performance, enabling seamless handling of large AI workloads.
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128 GB LPDDR5x Coherent Unified System Memory
Empowers model development, experimentation, and inferencing with ample memory capacity.
-
NVIDIA GB10 Grace Blackwell Superchip
Powered by a Blackwell GPU with 5th-gen Tensor Cores and FP4 support.
-
NVLink-C2C Technology
Provides a cohesive CPU+GPU memory model with five times the bandwidth of PCIe 5.0.
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Double the Power with Two ASUS Ascent GX10 Units
Delivers 2 petaFLOPs, 256GB memory, 405B parameter support, and up to 8TB storage.
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.
Cost Effective Experimentation Platform
Free up essential compute resources in clusters better suited for training and deploying production models.
Product information
Additional Information
| ASIN | B0G1MQYHRD |
|---|---|
| Customer Reviews |
3.9 out of 5 stars |
| Best Sellers Rank |
|
| Date First Available | November 10, 2025 |
Warranty & Support
Feedback
Similar brands on Amazon
ASUS Ascent GX10
Merchant Video ASUS Ascent GX10 AI Supercomputer
Compact, Powerful, and Scalable
The ASUS Ascent GX10, accelerated by the NVIDIA GB10 Grace Blackwell Superchip and the NVIDIA AI software stack, provides a full-stack solution for AI development and deployment.
-
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.
-
NVIDIA GB10 Grace Blackwell Superchip
Powered by a Blackwell GPU with 5th-gen Tensor Cores and FP4 support.
-
NVLink-C2C Technology
Provides a cohesive CPU+GPU memory model with five times the bandwidth of PCIe 5.0.
-
Double the Power with Two ASUS Ascent GX10 Units
Delivers 2 petaFLOPs, 256GB memory, 405B parameter support, and up to 8TB storage.
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.
Cost Effective Experimentation Platform
Free up essential compute resources in clusters better suited for training and deploying production models.
Product information
Technical Details
| Max Screen Resolution | 3840x2160 Pixels |
|---|---|
| Processor | 3.8 GHz cortex |
| RAM | 128 GB LPDDR5x |
| Hard Drive | 1 TB SSD |
| Graphics Coprocessor | Blackwell GPU |
| Chipset Brand | NVIDIA |
| Card Description | Integrated |
| Wireless Type | 802.11.be, Bluetooth |
| Number of USB 3.0 Ports | 4 |
| Brand | ASUS |
|---|---|
| Series | GX10-GG0010BN |
| Item model number | GX10-GG0010BN |
| Operating System | NVIDIA DGX OS |
| Item Weight | 3.26 pounds |
| Product Dimensions | 5.91 x 5.91 x 2.01 inches |
| Item Dimensions LxWxH | 5.91 x 5.91 x 2.01 inches |
| Color | Stellar Gray |
| Processor Brand | NVIDIA |
| Number of Processors | 1 |
| Computer Memory Type | DDR5 RAM |
| Hard Drive Interface | PCIE x 4 |
Additional Information
| ASIN | B0G1MQYHRD |
|---|---|
| Customer Reviews |
3.9 out of 5 stars
(14)
3.9 out of 5 stars |
| Best Sellers Rank |
|
| Date First Available | November 10, 2025 |
Warranty & Support
Feedback
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Customer reviews
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- JYReviewed in the United States on December 31, 2025
5.0 out of 5 stars Good product.
Verified PurchaseProduct is solid. I quite enjoy the compactness and the Blackwell GPU. Asus is offering this at a discounted price from DGX spark.
I find Linux set up no issues. The only downside is Bluetooth connection to earphone and speakers -- I have not yet figured that out.
A note to seller and future buyers: please ask the shipper to ensure the product. For me, FedEx has delivered this package to my neighbor. As a result, I wasn't able to find it for a day or two on premise. No signature was required by FedEx , no photo proof of delivery was found. Had it not for the altruism of my neighbor ,I would have completely lost this expensive package.
8 people found this helpfulReportHelpful - Philip AdamsonReviewed in the United States on February 8, 2026
5.0 out of 5 stars All good.
Verified PurchaseQuick delivery and a superb item. :-)
One person found this helpfulReportHelpful - M CastleReviewed in the United States on January 6, 2026
2.0 out of 5 stars Ok but powers off under moderate training load
Verified PurchasePretty 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.
14 people found this helpfulReportHelpful - Morris L.Reviewed in the United States on January 10, 2026
4.0 out of 5 stars Only for researchers
Verified PurchaseFirst, be aware the seller charges a 10% restocking fee. $300 plus $160 for insurance from UPS to send it back was a lot of money to find out that the DGX Spark does not live up to the hype for my use case.
Overall, the hardware is good. I didn’t hear a whisper of the fan in 3 days of testing either. I have read that the Nvidia version is loud. I would recommend the Asus Ascent for its design.
My problem is with the software. DGX OS is easy to set up, but it is locked into CUDA 13. I first tried to run the newest Nemotron Nano using NIM, but it has a requirement for CUDA 13.1. After upgrading, I kept getting so many errors indicating a mismatch between CUDA and the OS that I reinstalled the OS, which took an hour.
Next I tried GPT-OSS:120B running under Ollama, and while it worked, I got roughly 10-15 tokens per second. NIM did work, but it was not any faster. So this supercomputer which is supposed to be able to handle 200 billion parameter models is very slow if you can get it to work.
Depending on your usage, if you just want to do inference, any cloud service will take years to equal the cost of the DGX Spark. My RTX 5090 runs Nano and GPT-OSS:20B at 100-200 tokens/s, and it was the same cost. It has the added benefit of running Cyberpunk 2077 at the highest settings at 100+ fps too.
This review is solely on the models mentioned. YMMV for other models or use cases. If you buy a Spark, the Asus Ascent is a good choice.
24 people found this helpfulReportHelpful - Collin GuiteReviewed in the United States on December 24, 2025
5.0 out of 5 stars Amazing product.
Verified PurchaseExcellent product. Great for everyone that wants to get a grasp of the latest technology regarding computing and data processing.
Even more special was the customer attention provided by ExcaliberPC.
Excellent product. Great for everyone that wants to get a grasp of the latest technology regarding computing and data processing.5.0 out of 5 starsCollin GuiteAmazing product.
Reviewed in the United States on December 24, 2025
Even more special was the customer attention provided by ExcaliberPC.
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ReportHelpful - Chelsea BaguleyReviewed in the United States on February 4, 2026
1.0 out of 5 stars Died right after first boot
Died right after turning it on. Spend the extra $1000 and get the Spark. I’ve had my Spark for a month zero issues. The ascent died after 5 mins and setting it up.
2 people found this helpfulReportHelpful - K. MillerReviewed in the United States on February 22, 2026
5.0 out of 5 stars Definitely worth the addition to a home AI lab
Verified PurchaseFlawless transaction
One person found this helpfulReportHelpful - ArisReviewed in the United States on December 5, 2025
5.0 out of 5 stars Excellent Cooling AND Price
Verified PurchaseI have 2 of these in a cluster for ai workloads and its the best bang for buck system that supports the latest in nvidias software ecosystem.
My NAS is louder than this thing. Whisper quiet. Sips power. Looks great.
9 people found this helpfulReportHelpful
