ASUS Agent Computer | Central Computers

POWERING EVERY AI CHOICE

The Right Agent Computer for Cloud, Local, or Hybrid AI.

ASUS delivers a complete agentic AI computing ecosystem—from laptops, compact mini PCs and customizable desktop PCs to professional workstations and deskside AI supercomputers. Whether running personal AI assistants, creative workflows, development environments, or enterprise-grade AI agents, ASUS provides the right AI computing platform for every level of performance, scalability, and data control.

Personal / SOHO / Education / SMB / Enterprise

AI computing solutions for diverse needs across personal, education, and business environments.

AI on your own terms

For individuals, creators, and small teams running models on hardware they own — from a single machine to a small cluster. Start with a custom PC build, a laptop, or a mini PC / NUC, and grow as your models do.

AI at department scale

For organizations supporting multiple users, larger AI models and demanding workflows. High-performance custom PCs and ExpertCenter Pro workstations provide options for local AI deployment, with performance, memory capacity and IT management features depending on the selected configuration.

Run AI Locally: Six Scenarios, One Ecosystem

From a personal assistant on one PC to AI services for a whole team: Pick the local scenario that matches your goal, and see how an ASUS agent computer fits in.

Personal AI (Everyday AI & coding)

Chat, search your own documents, and get coding help from an AI that runs on your own machine — private, offline, always available.

Model capability7B–32B Q4 models · Personal RAG*Model size varies by GPU and available VRAM.
GPU buildPC Components
Best for
ChatDocs Q&APersonal RAG
DRAM
32–64GB DRAM
Unified memoryMini PCs, NUCs & Laptops
Best for
Personal AI AgentsLocal Coding AssistantCreative Workflows
Platform
NVIDIARTX SparkComing Soon

AI Development (Build & fine-tune models)

Prototype, fine-tune, and test models at your desk with a high-VRAM GPU or a GB10-based DGX Spark — and keep your code and data private.

Model capability32B Q4 models · Model development*Model size varies by GPU and available VRAM.
GPU buildPC Components
Best for
AI CodingRAG DevAgent DevFine-Tuning
DRAM
128GB DRAM
Unified memoryMini PCs, NUCs & Laptops
Best for
Large-Model PrototypingMulti-Agent CodingLocal Fine-Tuning
Platform
NVIDIADGX SparkASUS Ascent GX10

Homelab / AI Nodes (Run agents & shared AI)

Keep AI running 24/7 for your home or small team — always-on agents, private RAG, and shared AI services.

Model capability7B–120B models*Model size varies by GPU and available VRAM.
Multi-GPU buildPC Components
Best for
Local Model ServingMultimodal Pipelines
DRAM
256GB DRAM
Unified memoryCluster
Best for
24/7 AgentsPrivate RAGShared AI ServicesHome Automation
Platform

Enterprise Workstations (Run larger local models)

Run full-precision 70B-class models on one workstation — edge AI, vision-language analysis, engineering copilots — for up to 25 users, with data that stays on-site.

Model capability70B+ full-precision models*Based on RTX PRO 6000 Blackwell Max-Q.
Workloads & scale
Best for
Factory Edge AIVLM AnalysisEngineering Copilot
Large Local Models
· 70B Dense / 122B MoE*
· Document Analysis
· Professional Reasoning
Users
Up to 25 · dedicated workloads
Recommended buildWorkstation Components

Workstations Premium (Serve concurrent users)

One dual-GPU workstation becomes a department-wide AI service — shared assistants, workflow automation, and knowledge AI for up to 50 users.

Model capabilityFull-precision · shared AI services*Based on RTX PRO 6000 Blackwell Max-Q.
Workloads & scale
Best for
Shared AI AssistantsWorkflow AutomationDepartment Knowledge AI
Model & Service Scope
· 122B MoE Single Model
· 27B* Shared AI Services
· Multiple Models & Users
Users
Up to 50 · shared service
Recommended buildWorkstation Components
Memory
2TB R-DIMM

Enterprise Scale (Scale enterprise AI)

Go past a single workstation: RAG at scale, agent orchestration, and distributed inference for 50+ users — with data, cost, and compliance under your control.

Model capabilityBeyond single-workstation scale
Workloads & scale
Best for
Enterprise RAG & APIsAgent OrchestrationDistributed Inference
Enterprise deployment
· Large Model Pipeline
· Higher Concurrency
· Multi-user AI Services
Users
50+ · scale-out services
Recommended buildEnterprise Workstation
Compute
NVIDIAGB300

Your Agent Computer, Built Around You

FAQ

  • 1. What is agentic AI?

    Agentic AI is a system that can pursue a goal by itself, decide what to do next, carry out several steps in sequence, and adjust along the way, rather than waiting for a new instruction after each reply.

  • 2. What is an agent computer?

    An agent computer is a computing device configured to run AI agents that can plan and carry out tasks on your behalf. With compatible software and the appropriate permissions, these agents can automate workflows and handle tasks with less step-by-step input. ASUS agent computers span custom PCs, mini PCs, NUCs and workstations, supporting local, cloud or hybrid AI workflows.

  • 3. What’s the difference between agentic AI and generative AI?

    Generative AI produces something within a single application each time you prompt it, such as text, an image, or a section of programming code. Agentic AI may use multiple tools to complete a multi-stage task.

  • 4. Can agentic AI run in the cloud, locally, or both?

    Yes. Agentic AI can run in the cloud, locally or in a hybrid setup. A local Agent Computer gives you a dedicated platform to run supported AI models and agents on your own hardware, with greater control over your data and less reliance on paid cloud APIs. For frequent AI use and ongoing agent workflows, this can help reduce recurring API token costs, with actual savings depending on your setup and usage.

    You can also connect to cloud services when needed, combining the everyday benefits of local AI with access to additional models and capabilities. Choose a local device with the performance and memory capacity to support your workflows and room to grow as your AI needs evolve.

  • 5. Best hardware for agentic AI?

    The best choice depends on your workflow and priorities. Consider laptops for portability, mini PCs and NUCs for compact workspaces, DIY PCs for customisation and upgrade flexibility, desktops for a ready-to-use setup, and workstations for demanding professional workloads. Match computing performance and memory capacity to your AI requirements. For business use, look for security features, IT manageability and dependable support. Across the ASUS lineup, choose a configuration that meets your agents’ software and hardware requirements, whether they run locally, in the cloud or in a hybrid setup.

  • 6. Why ASUS Agent Computer?

    ASUS offers a broad range of computing platforms for agentic AI, including laptops, desktops, mini PCs, NUCs, custom PCs, workstations and deskside AI supercomputers. This range lets you choose a configuration that fits your workflows, performance needs and budget, whether your agents run locally, in the cloud or both. On supported mini PCs and NUCs, ASUS EZ Installer helps simplify OpenClaw setup.

    On the software side, ASUS Zenni Claw helps users get started with guided agent workflows for work, travel and daily life. Available on select supported models, ASUS Zenni AI Hub gives teams a unified platform to deploy LLMs, select models that fit their needs, coordinate multiple AI agents and build private knowledge bases with Knowledge+. Software availability and supported features vary by model.

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