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ASUS

ASUS QN10 barebone mini PC 16GB 512GB

SKU CH-Q149-39FXZ MPN QN10

Slim barebone mini PC with an 18-core Snapdragon X2 Elite CPU, 16 GB LPDDR5x, 512 GB Nvme SSD and Qualcomm Adreno X2-90 graphics, supporting four 4K displays, Wi-Fi 7 and Bluetooth 6.0

  • ColorSilver
  • Form FactorSlim
  • AI FeaturesCopilot+ PC
  • CPU TypeSnapdragon X2 Elite Platform X2E-88-100 3rd Gen Qualcomm Ory
  • Memory installed16GB
  • Memory slot2 x 262Pin SO-DIMM
  • 18-core Snapdragon X2 Elite CPU handles heavy workloads efficiently
  • 80 TOPS Qualcomm Hexagon NPU runs multiple AI tasks simultaneously
  • Four 4K displays supported via USB4 and HDMI outputs
  • Wi-Fi 7 and Bluetooth 6.0 deliver low-latency wireless connections
  • 512 GB PCIe Gen5 NVMe SSD plus Gen4 slot for fast storage expansion

Target audience

The ASUS QN10 is a compact mini PC barebone powered by the Snapdragon X2 Elite platform with an 18-core Oryon CPU and integrated Adreno X2-90 graphics. It ships with 16GB of LPDDR5x memory and a 512GB NVMe SSD, targeting developers and professionals who need on-device AI acceleration and multi-display support in a slim form factor.

Connectivity limits

The system provides two USB4 Type-C ports at 40Gbps with DisplayPort 1.4 and power delivery, plus one USB 3.2 Type-A at 10Gbps and one USB 2.0 Type-A. Wired networking tops out at 2.5Gbps, while wireless uses Wi-Fi 7 and Bluetooth 6.0. Four 4K displays can be driven simultaneously, but total I/O bandwidth is shared across the USB4 and PCIe Gen5 storage interfaces.

Upgrade path

The unit includes one M.2 2280 slot for PCIe Gen5 NVMe and another for PCIe Gen4 NVMe, allowing storage expansion beyond the factory 512GB. Memory is soldered LPDDR5x at 16GB with no SO-DIMM upgrade path despite the listed 262-pin slot specification. The jump from earlier Arm-based mini PCs is worthwhile when local NPU throughput of 80 TOPS and Copilot+ certification are required for AI workloads.

商品特色

  • 18-core Snapdragon X2 Elite CPU handles heavy workloads efficiently
  • 80 TOPS Qualcomm Hexagon NPU runs multiple AI tasks simultaneously
  • Four 4K displays supported via USB4 and HDMI outputs
  • Wi-Fi 7 and Bluetooth 6.0 deliver low-latency wireless connections
  • 512 GB PCIe Gen5 NVMe SSD plus Gen4 slot for fast storage expansion

商品規格

BrandASUS
SeriesASUS Ascent QN10
ModelQN10
ColorSilver
Form FactorSlim
AI FeaturesCopilot+ PC
CPU TypeSnapdragon X2 Elite Platform X2E-88-100 3rd Gen Qualcomm Oryon CPU (18-Cores)
Memory installed16GB
Memory slot2 x 262Pin SO-DIMM
Memory Type SupportedDDR5 5600
Storage Installed512GB SSD
M.2 Slot1 x M.2 2280 PCIe Gen5 NVMe SSD
1 x M.2 2280 PCIe Gen4 NVMe SSD
Integrated GraphicsQualcomm Adreno GPU X2-90
Onboard AudioQualcomm WCD9378C
LANRealtek 2.5G LAN, 10/100/1000/2500 Mbps
Max LAN Speed2.5Gbps
Wireless LANFoxconn NCM820A
WiFi GenerationWi-Fi 7
Bluetooth6.0
Front USB2 x USB4 Type-C (DP1.4/PD, 5V/3A, 40Gbps)
1 x USB 3.2 Type-A (10Gbps)
1 x USB 2.0 Type-A (5Gbps)
Other Front Ports1 x Audio Jack (Line out/Mic in/Headphone out/Headset)
HDMI1 x HDMI 2.1 FRL
Thunderbolt1 x USB4 Type-C (DP1.4/PD, 5V/3A, 40Gbps)
Rear USB2 x USB 3.2 Type-A (10Gbps)
RJ451 x 2.5G RJ45 LAN
Power Supply180W Power Adapter
Dimensions130 x 130 x 40mm
Weight620g

商品問答

Should I pick the 16 GB model or add more memory later?

The unit ships with 16 GB of soldered LPDDR5x and has two 262-pin SO-DIMM slots that accept DDR5 5600 modules, so you can expand up to the platform maximum of 32 GB if your workloads need it.

What does the 80 TOPS NPU rating mean when I am actually running AI workloads?

The Qualcomm Hexagon NPU can deliver up to 80 trillion operations per second, letting you run multiple Copilot+ experiences such as live captions, image generation and local model inference at the same time without hitting the CPU or GPU.

How fast are the front USB4 Type-C ports and what can they drive?

Each front USB4 Type-C port runs at 40 Gbps, supports DisplayPort 1.4 and 5 V / 3 A power delivery, so you can connect high-speed storage, docks or up to four 4K displays through the available video outputs.

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