ASUS Agent Computer
Your Custom Agent Computer, Powered by ASUS
Powered by ASUS connects over 1,900 partners across more than 50 countries to bring you custom PCs built with ASUS components. Our partners tailor each build to your needs, using a selection of ASUS motherboards, graphics cards, power supplies, cooling solutions and chassis. Choose a configuration that supports your local AI workflows, from everyday productivity to content creation and development.
AI on your own terms
Run local AI on a custom PC built around your needs. Choose components to match your workflows and budget, from everyday AI assistance to content creation and coding, with the flexibility to upgrade as your needs evolve.
Custom AI for your team
Build a custom PC tailored to your team’s AI projects, from shared knowledge assistants to workflow automation. Configure graphics, memory and storage to suit your models and workloads, with local processing that helps keep sensitive data in-house.
Your Agent Computer, Built Around You
Explore ASUS AI systems for local AI development, GPU-accelerated workflows, professional computing and advanced AI experimentation. Choose a configuration that fits your workload.
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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.