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.
AI computing solutions for diverse needs across personal, education, and business environments.
Professional and multi-GPU configurations
Department-scale AI
AI development on the go
Local AI development
High-VRAM GPUs for larger local models
Deploy AI across local, hybrid, and cloud environments with laptops, mini PCs, custom PC build, workstations, and deskside AI supercomputers, and keep sensitive data in your hands.
Significantly reduce cloud API token expenses through local SLM workload offloading; high-end setups lower cloud API rental costs over time.
Enjoy a complete hardware ecosystem purpose-built for 24/7 automated agents, local workflows, and enterprise-grade agent swarms.
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.
Chat, search your own documents, and get coding help from an AI that lives on your own device — private, offline, and always available. From a single-GPU PC to a mini PC or laptop with unified memory, ASUS agent computers give you personal AI your way.
*Supported model sizes vary by GPU configuration and available VRAM.
NVIDIA GeForce RTX™ 5060 Ti 16GB
32–64GB DRAM
NVIDIA NVIDIA RTX Spark
Prototype, fine-tune, and test models right at your desk, then scale up when you're ready. ASUS agent computers give developers a private local lab via a graphics card with ample VRAM or a DGX Spark-based ASUS Ascent GX10 so you can iterate faster and keep your code and data confidential.
*Supported model sizes vary by GPU configuration and available VRAM.
NVIDIA GeForce RTX™ 509032GB VRAM
128GB DRAM
NVIDIA NVIDIA RTX SPARK
NVIDIA NVIDIA DGX SPARK
Keep AI running around the clock for your home or small team, with 24/7 agents, private Retrieval-Augmented Generation (RAG), and shared AI services.
*Supported model sizes vary by GPU configuration and available VRAM.
AMD ROG CROSSHAIR X870E Series
Intel ROG MAXIMUS Z890 Series
256GB DRAM
NVIDIA NVIDIA DGX SPARK
Run full-precision 70B-class models on a single workstation for factory edge AI, vision-language analysis, and engineering copilots. ASUS agent computers keep dedicated workloads for up to 25 users on your own site — with data that stays local.
Up to 25 usersDedicated workloads
Intel Pro WS W890E-SAGE SE
2TB R-DIMM
Serve shared AI assistants, workflow automation, and department knowledge AI to up to 50 users at once, with multiple models running side by side. ASUS agent computers turn one dual-GPU workstation into a whole department's AI service.
Up to 50 usersShared AI service
Intel Pro WS W890E-SAGE SE
2TB R-DIMM
Go beyond the single workstation with an enterprise AI platform for RAG at scale, agent orchestration, and distributed inference across the organization. ASUS agent computers such as the ExpertCenter Pro ET900N G3 scale to 50+ users while keeping data, cost, and compliance under your control.
50+ usersScale-out services
NVIDIAGB300
Every AI workload has an ideal home — cloud or local & hybrid. Select your deployment model and device type to find the ASUS agent computer built for the way you work.
Step 1 — Where should your AI run?
Step 2 — Choose your device type
Pick where your AI should run to begin.
Deskside AI supercomputer for 70B+ models, fine-tuning, RAG, and enterprise agent swarms — full local data control.
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Custom PC build for fully local or hybrid AI — pairing workstation, ROG, ROG Strix, ProArt and TUF motherboards with GeForce RTX, Radeon AI PRO, and Intel Arc Pro GPUs for large-model inference, creative generation, RAG, and multi-agent workloads.
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FILTER:
AI-ready desktop PCs with a 40+ TOPS NPU for accelerated workflows — the best PC for gamers and content creators — optimized for content creation, streaming, and multitasking.
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AI supercomputers and high-performance mini PCs for fully local or hybrid AI — the best mini PC for AI and best PC for programming — supporting large-model inference, fine-tuning, RAG, multimodal workloads, and multi-agent operations, built to meet OpenClaw hardware requirements.
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For those who game as hard as they build, performance-driven ROG laptops take on AI workloads locally or in hybrid cloud setups, alongside game programming, video rendering, and AAA gaming. As the best laptop for gaming and work and for multitasking, the ROG lineup spans desktop replacements to ultra-slim and dual-screen designs.
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Compact AI mini PCs as reliable cloud-agent hosts — supporting cloud-based AI with light local processing, tool-calling, and single assistant.
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Work smarter with AI desktop PCs featuring baseline NPU performance to streamline and optimize daily tasks.
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Thin-and-light ExpertBook and lightweight ASUS Zenbook AI laptops for cloud AI — the best laptop for work, video conferencing, business, and personal use — pairing all-day battery life, fast connectivity, and premium displays with cloud-hosted models for AI assistants, meeting summaries, writing, research, and creative work wherever you go.
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Where to buy
One-click deployment stacks that pair with the hardware above — pick the ecosystem that fits your silicon.
This ASUS-designed agentic AI assistant is built to make agents easy to start, with guided setup and ready-to-use skills for work, travel, and daily life, plus flexible local-cloud routing that adapts to your device and task.
AMD ROCm.AI combines AMD Skills, ROCm CLI and AMD Hyperloom, bringing AMD expertise, simpler workflows and agentic optimization into the tools developers.
This agentic runtime is optimized for Intel Core Ultra NPUs and CPU-first inference on entry and mainstream endpoints.
Self-improving AI agent with a browser-based admin panel, multi-platform messaging, and 200+ supported LLM models.
This safety-hardened NVIDIA agent stack for GPU-accelerated workloads is available for PCs with RTX graphics cards, or the DGX Spark or DGX Station.
Articles, reviews, and creator deep-dives on building and running local AI agents.
Place a bulk order, and ensure a hassle-free process with customized solutions to your requirements.
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.
An agent computer is a device built to run AI agents — software you delegate tasks to rather than operate step by step. Where a PC waits for your next click, an agent computer works on your behalf, often around the clock, and it can report back wherever you are. ASUS agent computers span laptops, desktops, mini PCs, NUCs, and workstations. They are sized for agents that run locally, in the cloud, or both.
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.
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.
The right choice depends on where your agents run and how heavily you use them. A laptop is ideal for cloud-based agents, while a mini PCs or desktop with a capable GPU or NPU suits hybrid and everyday local agents. Workstation-class systems are ideal for large models, fine-tuning, and always-on agent teams. Whatever the tier, prioritize memory (system RAM, plus VRAM for local models), fast storage, and sustained cooling, since agents tend to run continuously rather than in short bursts.
ASUS offers a full range of agent computers in the form of laptops, desktops, NUCs, custom PCs, and deskside AI supercomputers. With a product available at every tier, your agents can run in the cloud, on your desk, or both. Getting started is simple: The ASUS EZ Installer readies the mini PCs or NUCs for OpenClaw in one click, and the selector on this page matches you to the right machine.
On the software side, ASUS Zenni Claw helps users get started quickly with guided agent workflows for work, travel, and daily life. 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+.