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ASUS

ASUS GX10-GG0010BN AI edge system 128GB 1TB

SKU CH-W620-HS007 MPN GX10-GG0010BN

Compact AI edge system with NVIDIA GB10 Superchip, 128GB LPDDR5x unified memory, 1TB NVMe storage, Wi-Fi 7 and 10G LAN for local agentic workloads

  • TypeMini PC
  • CPU TypeARM v9.2-A CPU (GB10)
  • Back I/O Ports3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayP
  • Installed Memory Size128GB LPDDR5x Coherent Unified System Memory
  • SSD (Installed)1TB M.2 2242 NVMe PCIe 4.0
  • GPU TypeNVIDIA Blackwell GPU (GB10, integrated)

Option Ascent GX10 AI 1TB

  • 1 petaFLOP AI performance via NVIDIA GB10 Superchip
  • 128GB LPDDR5x unified memory enables 200B parameter fine-tuning
  • 1TB PCIe 4.0 NVMe SSD provides fast local storage
  • ConnectX-7 NIC plus 10G LAN supports dual-system stacking
  • Dual-fan cooling delivers 1.6× thermal efficiency in compact chassis

Compact AI Supercomputer

The ASUS Ascent GX10 is a desktop-class AI system built around the NVIDIA GB10 Grace Blackwell Superchip with 128GB of LPDDR5x coherent unified memory and a 1TB NVMe PCIe 4.0 drive. It targets developers and researchers who need local, private inference and fine-tuning for large language models up to 200B parameters without relying on cloud resources. The system runs DGX OS and supports agentic frameworks such as OpenClaw and NemoClaw for sandboxed, governed agent workflows.

Scaling Beyond Single-Node Limits

A single GX10 delivers 1 petaFLOP of FP4 AI compute, which covers prototyping and inference for models up to 200B parameters. When workloads grow to 405B parameters or require 256GB of unified memory and up to 8TB of storage, two units can be stacked through the integrated NVIDIA ConnectX-7 NIC and NVLink-C2C interconnect to double performance and capacity. This scaling path is worth it when a single device hits memory or parameter ceilings.

Sustained Thermal Performance

The chassis uses a dual-fan cooling design rated at 1.6× better thermal efficiency than conventional layouts, allowing the GB10 superchip to maintain high throughput during long training or inference runs. Power is supplied through a USB-C PD 3.1 EPR port accepting up to 240W at 48V/5A, with an additional 180W PD input available. This thermal and power envelope keeps clocks stable under continuous load rather than throttling after short bursts.

Høydepunkter

  • 1 petaFLOP AI performance via NVIDIA GB10 Superchip
  • 128GB LPDDR5x unified memory enables 200B parameter fine-tuning
  • 1TB PCIe 4.0 NVMe SSD provides fast local storage
  • ConnectX-7 NIC plus 10G LAN supports dual-system stacking
  • Dual-fan cooling delivers 1.6× thermal efficiency in compact chassis

Spesifikasjoner

BrandASUS
ModelAscent GX10
TypeMini PC
CPU TypeARM v9.2-A CPU (GB10)
Back I/O Ports3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort)
1 x USB 3.2 Gen 2x2 Type-C, with PD in (180W EPR PD3.1 SPEC)
1 x HDMI 2.1
1 x NVIDIA ConnectX-7 NIC
1 x 10G LAN
1 x Kensington Lock
Installed Memory Size128GB LPDDR5x Coherent Unified System Memory
SSD (Installed)1TB M.2 2242 NVMe PCIe 4.0
GPU TypeNVIDIA Blackwell GPU (GB10, integrated)
WiFi GenerationAW-EM637 WiFi 7 (Gig+) 2x2
BluetoothBluetooth 5
Power CharacteristicsUp to 240W (USB-C PD 3.1 EPR); up to 48V/5A
Dimensions2.01" x 5.91" x 5.91"
Weight3.26 lbs.
FeaturesAI Agent Ready: NemoClaw and OpenClaw
Fraktvekt3.18 kg
Pakkestørrelse191 × 191 × 159 mm

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Spørsmål om denne varen

What are the exact dimensions of the ASUS GX10-GG0010BN so I can confirm it fits my rack shelf?

The chassis measures 2.01 inches high by 5.91 inches wide by 5.91 inches deep and weighs 3.26 lbs.

How do I power the unit correctly, and what mistake should I avoid during setup?

Connect the included 240W USB-C PD 3.1 EPR adapter to the dedicated 180W PD input port; do not plug power into the three 20Gbps DisplayPort alt-mode Type-C ports.

When the internal 1TB M.2 2242 NVMe PCIe 4.0 drive fills up, what are my upgrade options?

Replace the single M.2 2242 slot with a higher-capacity NVMe PCIe 4.0 drive; the 128GB LPDDR5x memory is soldered and cannot be expanded.

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