Authorized Dealer
### From Manufacturer ASUS Ascent GX10 | Your Ultra Small Desktop AI Supercomputer ASUS Ascent GX10 | Ultra-Small AI Supercomputer Unboxing Featuring the NVIDIA GB10 Grace Blackwell Superchip, the ASUS Ascent GX10 AI…

Product highlights and buying context
Featuring the NVIDIA GB10 Grace Blackwell Superchip, the ASUS Ascent GX10 AI Workstation delivers petaflop-scale performance for full-stack AI development and deployment while occupying a stackable metal chassis. The ASUS Ascent GX10 is designed for AI developers building secure, long-running agentic workflows, with compatibility across frameworks, such as OpenClaw and NemoClaw, supporting private on-device inference, sandboxed execution, and governed data access.
Inside this system is a combined Cortex-X925 10-Core and Cortex-A725 10-Core CPU with 128GB of unified LPDDR5x memory and a 2TB NVMe M.2 PCIe 4.0 SSD, delivering the performance for local AI workloads such as prototyping, fine-tuning and inference, and data science applications. Four USB-C 3.2 Gen 2x2 ports are available, one of which serves as a power input for the included 240W adapter while the other three work with up to 20 Gb/s compatible peripherals. There is also an HDMI 2.1 port for external displays. Wi-Fi 7 (802.11be) support and a 10 Gb/s RJ45 Ethernet port provide high-speed connections to compatible networks. The NVIDIA ConnectX-7 SmartNIC adapter allows you to scale performance by linking up to two Ascent GX10 systems together to handle large models with 405 billion parameters. The NVIDIA DGX OS operating system is preinstalled.
The NVIDIA GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores drive cutting-edge performance and reliability in a compact design. The AI TOP ATOM also features NVIDIA NVLink-C2C technology with a 20-Core ARM processor that supports up to 200 billion parameter models.
NVIDIA NVLink-C2C provides ultra-fast CPU-GPU memory communication and NVIDIA ConnectX-7 networking to support dual GX10 system stacking, unlocking superior scalability and performance.
Additional Details
Loading…