ASUS Agent Computer Guide 2026: NUC, Ascent GX10, Ascent QN10, ROG NUC & ExpertCenter Pro ET900N G3 Compared
ASUS now sells its AI hardware under one umbrella it calls the Agent Computer — a machine built to run AI agents locally, from a 0.7-litre mini PC on a desk to a DGX Station under it. The range SourceIT stocks in Singapore spans five very different products that share that idea: the ASUS NUC 15 Pro and NUC 16 Pro, the Ascent QN10, the Ascent GX10, the ROG NUC, and the ExpertCenter Pro ET900N G3. They run different chips (Intel, Qualcomm, NVIDIA Grace Blackwell), different operating systems (Windows or DGX OS) and cost anywhere from under S$2,000 to well into six figures. This guide explains what "agent computer" actually means, lines the five up side by side, and tells you which one to buy for which job. Each model also has its own deep-dive linked below.
What is an ASUS Agent Computer?
ASUS describes an agent computer as a device built to run AI agents: where a PC waits for your next click, an agent computer works on your behalf[1]. The practical difference from a normal "AI PC" is where the model runs. A Copilot+ laptop uses a small NPU to accelerate features inside Windows; an agent computer is sized so the language model, the agent framework and your data all live on the machine, so the agent can work for hours without sending prompts to a cloud API or paying per token.
ASUS supports this with a software layer rather than just a badge. The ASUS Agent Computer programme pairs its devices with agent frameworks — ASUS's own Zenni Claw, Intel SuperClaw, Nous Research Hermes Agent, NVIDIA NemoClaw and AMD ROCm.AI — with an ASUS installer that prepares mini PCs and NUCs for OpenClaw, and lets you choose local, hybrid or cloud deployment[1]. ASUS frames the range as a ladder of scenarios: personal AI on one PC, AI development and homelab nodes, enterprise workstations serving up to 25 or 50 users, and enterprise-scale deployments where the ET900N G3 scales past 50 users[1]. The hardware below maps onto those tiers.
The five ASUS Agent Computers at a glance
Prices updated 21 October 2026.
| Model | Silicon | Memory | AI compute | OS | Best for | SourceIT price (SGD) |
|---|---|---|---|---|---|---|
| NUC 16 Pro | Intel Core Ultra Series 3 (Panther Lake), up to Core Ultra X9 388H with Arc B390[3] | 32 or 64 GB soldered LPDDR5X (X models) / up to 128 GB DDR5 (Core Ultra 7 356H, Core Ultra 5 325)[2] | NPU up to 50 TOPS + Arc Xe3 iGPU[3] | Windows 11 Pro | Office desktops, meeting rooms, small local models, signage | From S$1,782.50 |
| Ascent QN10 | Qualcomm Snapdragon X2 Elite, 18-core Oryon[4] | Up to 32 GB LPDDR5X-8533, soldered | Hexagon NPU, up to 80 TOPS | Windows 11 Pro (Copilot+) | Always-on assistants, kiosks, edge inference, Windows on Arm dev | S$2,375 (32 GB / 1 TB) |
| ROG NUC 16 | Intel Core Ultra 9 290HX Plus + GeForce RTX 5080 Laptop (16 GB GDDR7); RTX 5090 (24 GB) on Edition 20[5][9] | Up to 64 GB DDR5 | RTX Tensor Cores (CUDA) | Windows 11 Home | Creators and gamers, CUDA dev on small models, Stable Diffusion | From S$3,466.90 |
| Ascent GX10 | NVIDIA GB10 Grace Blackwell Superchip (DGX Spark platform)[6] | 128 GB coherent unified LPDDR5X, 273 GB/s[7] | Up to 1 PFLOP FP4 | NVIDIA DGX OS (Ubuntu) | Developers, researchers, 70B–200B LLMs, fine-tuning, agent labs | From S$7,200 |
| ExpertCenter Pro ET900N G3 | NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip (DGX Station)[8] | 748 GB coherent (252 GB HBM3e + 496 GB LPDDR5X) | Up to 20 PFLOPS FP4 | Ubuntu + NVIDIA AI stack | Teams serving frontier-scale models on-premises, 400B+ parameter inference | Price on request |
Prices are at time of writing and move with stock; the product pages always show the live figure.
Tier 1 — the Windows mini PCs: NUC 16 Pro and Ascent QN10
Both are mini PCs of about 0.7 litres that sit behind a monitor, run Windows 11 Pro, and are the right answer when the "agent" is a personal assistant, a document summariser or a kiosk model rather than a 70-billion-parameter LLM. They differ in the silicon philosophy.
NUC 16 Pro is the x86 choice: Intel's Panther Lake Core Ultra Series 3 with an NPU of up to 50 TOPS, and on the X7 358H and X9 388H configurations the 12 Xe-core Arc B390 integrated GPU[3] that makes 7B–14B models usable through Ollama or LM Studio (see running Ollama on the NUC 16 Pro). It keeps the NUC virtues businesses buy it for — dual 2.5GbE, dual Thunderbolt 4 and four-display output from a 144 x 117 x 42 mm chassis[2] — which is why it is also a common compute choice for Microsoft Teams Rooms builds. Complete systems start at S$1,782.50 and the Core Ultra X9 388H with 32 GB is S$2,971.49. Full breakdown in our ASUS NUC buyer's guide.
Ascent QN10 is the Arm choice: a Snapdragon X2 Elite mini PC with an 18-core Oryon CPU and a Hexagon NPU rated at up to 80 TOPS, comfortably above the 40 TOPS Copilot+ bar, with access to Qualcomm AI Hub for pre-optimised on-device models[4]. It is the pick for signage, retail computer vision, always-on desk-side assistants and inference that runs all day at low power. It is not a CUDA machine. We compare the two AI-first Ascents in Ascent QN10 vs Ascent GX10.
Tier 2 — the CUDA desktop: ROG NUC
The ROG NUC is sold as a gaming mini PC, but in a 3-litre chassis it carries a laptop-class GeForce RTX 5080 with 16 GB of GDDR7[5], which makes it the most affordable ASUS box that runs the real CUDA stack on Windows. For a creator or a developer who wants Stable Diffusion, local coding assistants on 7B–20B models and gaming on the same machine, the ROG NUC 16 RTX 5080 at S$5,745.80 is the sweet spot between a NUC and a GX10; the limited ROG NUC 16 Edition 20 with an RTX 5090 and 24 GB of GDDR7 (S$11,888.40) goes further[9]. The 2026 model moves to Intel's Core Ultra 200HX Plus series; see ROG NUC 16 vs ROG NUC 15 for what changed and ROG NUC 16 prices for every configuration.
Tier 3 — the developer lab: Ascent GX10
The Ascent GX10 is ASUS's build of the NVIDIA DGX Spark platform: one GB10 Grace Blackwell Superchip, 128 GB of unified memory the GPU can address directly, up to 1 petaFLOP of FP4 compute, and ConnectX-7 networking to cluster two units directly or up to four through a switch[6]. It runs NVIDIA DGX OS, not Windows, and ASUS rates the 128 GB model for models of up to 200B parameters[6]. ASUS's Agent Computer programme pairs it with NVIDIA NemoClaw, the safety-hardened NVIDIA agent stack for GPU-accelerated workloads[1]. If you need to run a 70B model privately, fine-tune with LoRA, or give a research team a lab that mirrors production CUDA, this is the entry point. Our Ascent GX10 guide covers specs, supported LLMs, clustering and Singapore pricing; our GB10 buyer's guide compares it with the other DGX Spark OEMs.
Tier 4 — the deskside supercomputer: ExpertCenter Pro ET900N G3
At the top sits the ExpertCenter Pro ET900N G3, ASUS's NVIDIA DGX Station: a 72-core Grace CPU and a Blackwell Ultra GPU on one GB300 superchip, 748 GB of coherent memory (252 GB HBM3e plus 496 GB LPDDR5X), up to 20 PFLOPS of FP4 and ConnectX-8 networking with two 400 Gb/s ports[8]. It is a deskside tower that needs proper power and cooling planning, covered in our DGX Station office installation checklist. This is the "AI service for a department" tier — one box replacing a GPU server for a team's inference, fine-tuning and evaluation. Details, benchmarks and the DGX Spark-versus-DGX Station decision are in our ET900N G3 guide.
Which ASUS Agent Computer should you buy?
"I want Copilot-style agents on a quiet office desktop." NUC 16 Pro. Pick the X9 388H if local models matter, the Core Ultra 7 356H if upgradable RAM matters more.
"It will run 24/7 in a kiosk, lobby or retail floor." Ascent QN10 — up to 80 TOPS of NPU at a fraction of the power of a dGPU, with Windows on Arm and Qualcomm AI Hub.
"I need CUDA on Windows, and I also game or edit video." ROG NUC 16 with RTX 5080 or 5070 Ti.
"I need to run 70B-class models privately, or build agents against a production NVIDIA stack." Ascent GX10 — and plan to cluster units if models beyond 200B parameters are on the roadmap; ASUS rates four 128 GB units at 512 GB combined[6].
"A whole team will hit it, and the models are 200B–500B parameters." ExpertCenter Pro ET900N G3.
Unsure about the model-size-to-memory maths? Our AI hardware calculator estimates which tier a given parameter count and quantisation needs, and our best PC to run LLMs locally guide walks the ladder from 7B to 550B.
Local vs cloud: why Singapore buyers are moving to agent computers
Three things drive the local-AI conversation with our customers. Cost predictability: an agent that runs all day against a cloud API bills per token forever; a GX10 is a one-off purchase with unlimited tokens, and for a team hammering a 70B model the hardware can pay for itself within a year (we show the arithmetic in our 12-month local vs cloud cost model). Data residency: for PDPA-regulated data, client files or source code, "the prompt never leaves the office" settles the compliance question. Latency and availability: no rate limits, no queue, no dependency on a provider's uptime. The pragmatic pattern is hybrid — develop and run day-to-day on local hardware, burst to cloud only for frontier proprietary models — which matches the local, hybrid and cloud options ASUS offers in the Agent Computer programme[1].
Further reading: comparisons, use cases and how-tos
Choosing between brands: DGX Spark vs Ascent GX10 · GX10 vs HP ZGX Nano vs Dell Pro Max · ET900N G3 vs HP ZGX Fury vs MSI WS300 · NUC 16 Pro vs Mac mini vs ThinkCentre Tiny · ROG NUC vs ROG GR70 vs Mac Studio
Best for your use case: Microsoft Teams Rooms · universities and research labs · digital signage and kiosks · compact gaming under S$5,000
Setting up: OpenClaw and NemoClaw on the GX10 · clustering two GX10 units · Ollama on the NUC 16 Pro · DGX Station office installation checklist · Windows on Arm compatibility on the QN10 · DGX OS updates for GX10 owners
Buying in Singapore: ASUS commercial warranty explained · buying through GeBIZ and Vendors@Gov · ROG NUC 16 prices · NUC 16 Pro X9 388H availability · ASUS AI lineup 2026 roundup
Buying ASUS Agent Computers in Singapore
SourceIT is an authorised ASUS reseller and stocks the range — NUC 15 Pro and NUC 16 Pro, Ascent QN10, Ascent GX10 in 1 TB, 2 TB and 4 TB, the ROG NUC 16 and the remaining ROG NUC 15 configuration, and the ExpertCenter Pro ET900N G3 — with official Singapore warranty. We advise on sizing, clustering and commissioning, and deliver GX10 and ET900N G3 units already updated and serving your chosen models. Lead times on GB10 and GB300 systems vary, so ask us for current availability when planning institutional orders. Use Request for Quotation on any product page, call (65) 6978 3502, or email Sales@sourceit.com.sg.
Sources
- ASUS Singapore — Agent Computer: Powering Every AI Choice
- ASUS Singapore — ASUS NUC 16 Pro Tech Specs
- Intel — Intel Core Ultra Series 3 Processors Quick Reference Guide
- ASUS — Ascent QN10
- ASUS ROG — ROG NUC 16 Tech Specs
- ASUS — Ascent GX10
- NVIDIA — DGX Spark
- NVIDIA — DGX Station
- ASUS ROG — ROG NUC 16 Edition 20 Tech Specs
Frequently asked questions
What does "agent computer" mean? It is ASUS's term for a PC, mini PC, workstation or deskside supercomputer sized to run AI agents locally — the model, the agent framework and your data on the device — rather than relying on a cloud API.
Which ASUS products carry the Agent Computer badge? ASUS's Agent Computer site names the Ascent GX10 and ExpertCenter Pro ET900N G3 among its headline products, the Ascent QN10 carries the Agent Computer logo on its product page, and the programme also covers ASUS NUCs, mini PCs, laptops and workstations.
Does an agent computer need a GPU? Not necessarily. The QN10 and NUC 16 Pro run small models on an NPU and integrated graphics; the GX10 and ET900N G3 use NVIDIA Grace Blackwell silicon for large models. Match the tier to the model size.
Which runs Windows? NUC 16 Pro, Ascent QN10 and ROG NUC run Windows 11. Ascent GX10 runs NVIDIA DGX OS and the ET900N G3 runs Ubuntu with the NVIDIA AI stack — you work on them from any laptop over the network.
What is the cheapest ASUS machine for a 70B LLM? The Ascent GX10 128 GB, from S$7,200. No Windows mini PC in the range fits a 70B model at a quality quantisation.
Can I cluster them? Ascent GX10 units link over ConnectX-7 (two direct, up to four via a switch) and ET900N G3 units have ConnectX-8 networking. The Windows mini PCs are standalone.
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Researched and verified by the SourceIT team for Singapore buyers.
