Looks like a pretty useful offering, 128Gb Memory Unified, with the ability to be chained. IN the Uk release price looks to be £2999.99 Nice to see AI Inference becoming available to us all, rather than using a GPU ..3090etc.
Seems this is basically DGX Spark with 1TB of disk so about $1000 bucks cheaper. DGX Spark has not been received well (at least online, Carmack saying it runs at half the spec, low memory bandwidth etc.) so perhaps this is way to reduce buyers regret, you are out only $3000 and not $4000 (with DGX Spark).
I don't understand DGX Spark hate. It's clearly not about performance (a small, low-TDP device), but ability to experiment with bigger models. I.e. a niche between 5090 and 6000 Pro, and specifically for people who want CUDA
Wasn't it shown that Carmack just had incorrect expectations, based upon misunderstanding the details of the GPU hardware?
From rough memory, something along the lines of "it's an RTX, not RTX Pro class of GPU" so the core layout is different from what he was basing his initial expectations upon.
Funny to wakeup and see this on the front page - I literally just bought a pair last night for work (and play) somewhat on a whim, after comparing the available models. This one was available the soonest & cheapest, CDW is giving 100 off even, so 2900 pre tax.
If you touch the image when scrolling on mobile then it opens when you lift your finger. Then when you press the cross in the corner to close the image, the search button behind it is activated.
How can a serious company not notice these glaring issues in their websites?
This bit of the FAQ was such a non-answer to their own FAQ, you really have to wonder:
>> What is the memory bandwidth supported by Ascent GX10?
> AI applications often require a bigger memory. With the NVIDIA Blackwell GPU that supports 128GB of unified memory, ASUS Ascent GX10 is an AI supercomputer that enables faster training, better real-time inference, and support larger models like LLMs.
From the FAQ… doesn’t seem promising when they ask and then evade a crucial question.
> What is the memory bandwidth supported by Ascent GX10? AI applications often require a bigger memory. With the NVIDIA Blackwell GPU that supports 128GB of unified memory, ASUS Ascent GX10 is an AI supercomputer that enables faster training, better real-time inference, and support larger models like LLMs.
I wonder why they even added this to the FAQ if they're gonna weasel their way around it and not answer properly?
> What is the memory bandwidth supported by Ascent GX10?
> AI applications often require a bigger memory. With the NVIDIA Blackwell GPU that supports 128GB of unified memory, ASUS Ascent GX10 is an AI supercomputer that enables faster training, better real-time inference, and support larger models like LLMs.
Never seen anything like that before. I wonder if this product page is actually done and was ready to be public?
That would depend on your idea of "good". It would be an upstream swim in most regards, but you could certainly make it work. The Asahi team has shown that you can get steam working pretty well on ARM based machines.
But if gaming is what you're actually interested in, then it's a pretty terrible buy. You can get a much cheaper x86-based system with a discrete GPU that runs circles around this.
Really interested to see if anyone starts using the fancy high end Connect-X 7 NIC in these DGX Spark / GB10 derived systems. 200Gbit RDMA is available & would be incredible to see in use here.
These are primarily useful for developing CUDA targeted code on something that sits on your desk and has a lot of RAM.
They're not the best choice for anyone who wants to run LLMs as fast and cheap as possible at home. Think of it like a developer tool.
These boxes are confusing the internet because they've let the marketing teams run wild (or at least the marketing LLMs run wild) trying to make them out to be something everyone should want.
is this another product they're pushing out for publicity. I mean how much testing has been done for this product. Need more specs and testing results to illuminate capabilities, practicality.
This is a tangent, but the little pop up example for their ai chat bot to try and entice me to use it was something along the lines of “what are the specs?”
How great would it be if instead of shoving these bots to help decipher the marketing speak they just had the specs right up front?
Why is every computer listing nowadays look the same with the glowing golden and blue chip images and the dynamic images that appear when you scroll down.
Please give me a good old html table with specs will ya?
45 comments
[ 3.0 ms ] story [ 61.1 ms ] threadhttps://www.scan.co.uk/products/asus-ascent-gx10-desktop-ai-...
Either build a single socket system and give it some DDR5 to work alongside, or go dual socket and a bit less DDR5 memory.
From rough memory, something along the lines of "it's an RTX, not RTX Pro class of GPU" so the core layout is different from what he was basing his initial expectations upon.
How can a serious company not notice these glaring issues in their websites?
I learned the hard way that ASUS translates do "don't buy ever again".
>> What is the memory bandwidth supported by Ascent GX10?
> AI applications often require a bigger memory. With the NVIDIA Blackwell GPU that supports 128GB of unified memory, ASUS Ascent GX10 is an AI supercomputer that enables faster training, better real-time inference, and support larger models like LLMs.
> What is the memory bandwidth supported by Ascent GX10? AI applications often require a bigger memory. With the NVIDIA Blackwell GPU that supports 128GB of unified memory, ASUS Ascent GX10 is an AI supercomputer that enables faster training, better real-time inference, and support larger models like LLMs.
> What is the memory bandwidth supported by Ascent GX10?
> AI applications often require a bigger memory. With the NVIDIA Blackwell GPU that supports 128GB of unified memory, ASUS Ascent GX10 is an AI supercomputer that enables faster training, better real-time inference, and support larger models like LLMs.
Never seen anything like that before. I wonder if this product page is actually done and was ready to be public?
But if gaming is what you're actually interested in, then it's a pretty terrible buy. You can get a much cheaper x86-based system with a discrete GPU that runs circles around this.
I am still trying to think a use case that a Ryzen AI Max/MacBook or a plain gaming gpu cannot cover.
At least with this, you get to pay both the Nvidia and the Asus tax!
- Price: $3k / $5k
- Memory: same (128GB)
- Memory bandwidth: ~273GB/s / 546GB/sec
- SSD: same (1 TB)
- GPU advantage: ~5x-10x depending on memory bottleneck
- Network: same 10Gbe (via TB)
- Direct cluster: 200Gb / 80Gb
- Portable: No / Yes
- Free Mac included: No / Yes
- Free monitor: No / Yes
- Linux out of the box: Yes / No
- CUDA Dev environment: Yes : No
They're not the best choice for anyone who wants to run LLMs as fast and cheap as possible at home. Think of it like a developer tool.
These boxes are confusing the internet because they've let the marketing teams run wild (or at least the marketing LLMs run wild) trying to make them out to be something everyone should want.
How great would it be if instead of shoving these bots to help decipher the marketing speak they just had the specs right up front?
What is the purpose of this thing?
Please give me a good old html table with specs will ya?
The Asus Ascent GX10 a Nvidia GB10 Mini PC with 128GB of Memory and 200GbE - https://news.ycombinator.com/item?id=43425935 - March 2025 (50 comments)
Edit: added via wmf's comment below:
"DGX Spark has only half the advertised performance" - https://news.ycombinator.com/item?id=45739844 - Oct 2025 (24 comments)
Nvidia DGX Spark: When benchmark numbers meet production reality - https://news.ycombinator.com/item?id=45713835 - Oct 2025 (117 comments)
Nvidia DGX Spark and Apple Mac Studio = 4x Faster LLM Inference with EXO 1.0 - https://news.ycombinator.com/item?id=45611912 - Oct 2025 (20 comments)
Nvidia DGX Spark: great hardware, early days for the ecosystem - https://news.ycombinator.com/item?id=45586776 - Oct 2025 (111 comments)
NVIDIA DGX Spark In-Depth Review: A New Standard for Local AI Inference - https://news.ycombinator.com/item?id=45575127 - Oct 2025 (93 comments)
Nvidia DGX Spark - https://news.ycombinator.com/item?id=45008434 - Aug 2025 (207 comments)
Nvidia DGX Spark - https://news.ycombinator.com/item?id=43409281 - March 2025 (10 comments)