ASUS Desktop AI Supercomputers

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ASUS Workstation Category

ASUS Desktop AI Supercomputers

Bring data‑centre‑class AI compute to the desktop with ASUS platforms powered by NVIDIA® Grace Blackwell Superchips. Built for modern AI development, these systems are designed for local fine‑tuning, inference, and data science workflows — from compact deployments to deskside AI supercomputing.

Local AI, faster iteration

Run demanding AI workflows close to your data and teams — without waiting on shared cloud capacity.

Unified CPU–GPU memory

Architected to reduce traditional CPU/GPU bottlenecks for large model workflows.

Enterprise software foundation

Includes NVIDIA DGX OS and the NVIDIA AI Software Stack on supported platforms for an AI‑ready environment.

Platforms in this Category

ASUS Desktop AI Supercomputers span compact and deskside form factors — including the ultra‑small ASUS Ascent GX10 and the ASUS ExpertCenter Pro ET900N G3 deskside AI supercomputer.

ASUS Ascent GX10 (Ultra‑Small AI Supercomputer)

A compact platform designed to bring petaflop‑scale AI computing capabilities directly to the desk, powered by the NVIDIA® GB10 Grace Blackwell Superchip and NVIDIA AI software.

NVIDIA® GB10 Grace Blackwell Superchip Petaflop‑scale AI computing Ultra‑compact form factor NVIDIA AI software environment

ASUS ExpertCenter Pro ET900N G3 (Deskside AI Supercomputer)

A deskside AI supercomputer powered by the NVIDIA® GB300 Grace Blackwell Ultra Desktop Superchip, built for large‑scale AI training and inference workloads with a massive coherent memory pool and data‑centre‑class connectivity options.

Up to 20 PFLOPS AI performance (FP4) Up to 775 GB coherent unified memory NVLink‑C2C interconnect ConnectX®‑8 SuperNIC support

Key Features & Value Adds

Grace Blackwell architecture for AI workloads

Supported systems pair an NVIDIA Grace CPU with a Blackwell‑class GPU and NVIDIA NVLink‑C2C chip‑to‑chip interconnect for high‑bandwidth coherent transfers between CPU and GPU — aimed at accelerating AI development and execution.

FP4 & next‑generation Tensor Core acceleration

The ET900N G3 platform highlights Blackwell‑generation CUDA® cores and 5th‑generation Tensor Cores, enabling FP4 AI compute to support next‑generation model efficiency.

Large coherent memory pool (ET900N G3)

Training and running models within a large coherent memory pool helps reduce CPU/GPU bottlenecks typical of traditional architectures — supporting larger models in a unified memory space.

Data‑centre‑class connectivity & scaling

The ET900N G3 references NVIDIA ConnectX®‑8 SuperNIC support with up to 800 Gb/s networking for fast, efficient connectivity, supporting scale‑out and “AI factory” style workflows.

DGX OS & NVIDIA AI Software Stack (Delivered with ASUS Platforms)

ASUS Desktop AI Supercomputers aren’t just hardware — supported platforms include NVIDIA DGX OS and the NVIDIA AI Software Stack to provide an AI‑ready environment for fine‑tuning, inference, and data science workflows.

NVIDIA DGX™ OS

DGX OS is a stable, fully qualified operating system for running AI, machine learning, and analytics applications on NVIDIA DGX platforms. It includes system‑specific configurations, drivers, and diagnostic and monitoring tools.

  • Stable OS foundation for AI/ML and accelerated analytics workloads
  • Includes system‑specific configuration, drivers, diagnostics, and monitoring tools
  • Built to support development environments that can scale beyond a single workstation

NVIDIA AI Software Stack

ASUS platforms reference the NVIDIA AI Software Stack as a full‑stack environment for AI workloads — including fine‑tuning, inference, and data science — enabling teams to move faster from experimentation to execution.

  • Full‑stack software environment for AI workloads (fine‑tuning, inference, data science)
  • Designed to scale across NVIDIA DGX Station systems, NVIDIA DGX Cloud, and other accelerated data‑centre/cloud infrastructure
  • Helps keep workflows consistent as projects grow from desktop development to larger environments

From desk to scaled infrastructure

DGX OS is designed to make it easier to scale across multiple NVIDIA DGX Station systems, NVIDIA DGX Cloud, or other accelerated data‑centre and cloud infrastructure — enabling a path from local development to larger deployments without rebuilding your environment from scratch.

Ideal For

LLM work

Fine‑tuning and inference workflows for large language models and generative AI use cases.

Research & simulation

Deep learning research, multimodal AI experimentation, and simulation workloads.

Enterprise AI teams

Teams needing powerful local compute with an enterprise software foundation and scale‑out path.

Talk to DiGiCOR about ASUS Desktop AI Supercomputers

Tell us your workloads and constraints (data, model size, inference vs training, power/space). We’ll help size the right ASUS platform and deployment approach for Australia & New Zealand.

No spam — just availability updates and practical options.


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