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Παρακολουθούμενα είδη Σύνδεση
Compact black mini PC barebone with front power button and rear USB-C ports

ASUS

ASUS Ascent GX10 AI Supercomputer 128GB 1TB barebone mini PC

SKU CH-WXR8-149NA

Compact barebone mini PC with NVIDIA GB10 Grace Blackwell Superchip, 128GB LPDDR5x unified memory and 1TB NVMe storage, delivering 1 petaFLOP AI performance for 200B model fine-tuning in a stackable

  • AI FeaturesAI Ready
  • CPU TypeARM v9.2-A CPU (GB10)
  • Memory installed128GB
  • Memory Type SupportedLPDDR5X 8533
  • Storage Installed1TB
  • M.2 Slot1TB M.2 2242 NVMe PCIe® 4.0 x 4 SSD or 2TB M.2 2242 NVMe PCI
  • 128GB LPDDR5X unified memory enables 200B parameter model fine-tuning
  • NVIDIA GB10 Grace Blackwell Superchip delivers 1 petaFLOP AI performance
  • NVLink-C2C and ConnectX-7 SmartNIC allow dual-system stacking for scale
  • 10Gbps LAN plus Wi-Fi 7 provide high-speed data throughput
  • 180W USB-C PD 3.1 input powers 240W peak in compact chassis

AI Supercomputer for Researchers

The ASUS Ascent GX10 is a barebone mini PC built around the NVIDIA GB10 Grace Blackwell Superchip. It delivers 1 petaFLOP of AI performance with 128GB of unified LPDDR5x memory. The system targets AI researchers and developers who need to fine-tune models up to 200B parameters locally. Its compact chassis fits on a desk while providing a full software stack for agentic AI workloads.

Connectivity Limits and Expansion

The platform uses a single 10G LAN port and Wi-Fi 7 for network traffic. Storage runs over PCIe 4.0 x4 on the installed 1TB drive, while the M.2 slot accepts 2242 form-factor SSDs up to 4TB on PCIe 5.0 x4. Four USB 3.2 Gen 2x2 Type-C ports provide 20Gbps data and DisplayPort alternate mode, with one supporting 180W power input. HDMI 2.1 handles video output.

128GB Unified Memory Decides Fit

The 128GB LPDDR5x pool is shared between the 20-core ARM v9.2-A CPU and the integrated Blackwell GPU, eliminating copy overhead for large models. This capacity determines whether a 200B parameter fine-tuning job fits in memory. Buyers who need more memory for larger models or multi-node clusters beyond two stacked units should evaluate rack-scale alternatives.

Βασικά χαρακτηριστικά

  • 128GB LPDDR5X unified memory enables 200B parameter model fine-tuning
  • NVIDIA GB10 Grace Blackwell Superchip delivers 1 petaFLOP AI performance
  • NVLink-C2C and ConnectX-7 SmartNIC allow dual-system stacking for scale
  • 10Gbps LAN plus Wi-Fi 7 provide high-speed data throughput
  • 180W USB-C PD 3.1 input powers 240W peak in compact chassis

Προδιαγραφές

BrandASUS
ModelASUS Ascent GX10
AI FeaturesAI Ready
CPU TypeARM v9.2-A CPU (GB10)
Memory installed128GB
Memory Type SupportedLPDDR5X 8533
Storage Installed1TB
M.2 Slot1TB M.2 2242 NVMe PCIe® 4.0 x 4 SSD or
2TB M.2 2242 NVMe PCIe® 4.0 x 4 SSD or
4TB M.2 2242 NVMe PCIe® 5.0 x 4 SSD
Integrated GraphicsNVIDIA Blackwell GPU (GB10)
LAN1 x 10G LAN
Max LAN Speed10Gbps
Wireless LANAW-EM637 Wi-Fi 7 (Gig+) 2x2
WiFi GenerationWi-Fi 7
BluetoothBluetooth® 5
Other Front Ports1 x Power button
HDMI1 x HDMI 2.1
Rear USB3 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)
Other Rear Ports1 x NVIDIA® ConnectX® -7 SmartNIC
Input180W via USB-C
Power SupplyUp to 240W (USB-C PD 3.1 EPR) up to 48V/5A
Dimensions150 x 150 x 51 mm (5.91 x 5.91 x 2.01)
Weight1.6KG

Ερωτήσεις για αυτό το προϊόν

Should I choose the 1 TB, 2 TB or 4 TB M.2 2242 NVMe SSD for this Ascent GX10?

The 1 TB and 2 TB options use PCIe 4.0 x4; the 4 TB option uses PCIe 5.0 x4. Pick the capacity that matches your dataset size and the PCIe generation you prefer.

What does the 1 petaFLOP AI figure mean once the system is running locally?

It represents peak AI compute from the GB10 Superchip, enabling fine-tuning of models up to 200 billion parameters using the 128 GB unified LPDDR5x memory.

What does the USB-C PD 3.1 EPR port cap at in practice?

The port delivers up to 240 W at 48 V / 5 A for system power and can accept 180 W PD input, while also carrying DisplayPort alternate mode video.

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