Can you use the ASUS Ascent GX10 to run a local agentic AI assistant?

The era of “cloud-only” autonomous agents is ending. OpenClaw (once known as Clawdbot and Moltbot) makes it possible for wide audiences to run their own always-on self-hosted agentic AI assistant. Coming soon, NemoClaw simplifies secure AI agent deployment. Proactively messaging you with daily briefings, running shell commands, managing your inbox, automating tasks for you inside popular apps: folks are just getting started exploring the potential use cases.

Yet many people who are interested in OpenClaw have had to give it a pass, and the reason is cloud dependency. Running OpenClaw using cloud-based AI services can consume tokens quickly, racking up significant costs. There are privacy concerns, too. If there’s data that you can’t or won’t upload to the cloud, then a cloud-based deployment of OpenClaw simply can’t be given access to it, and your use cases for the agentic AI assistant are limited.

But that’s if you’re running OpenClaw via cloud services. Such a system can be run locally, as well, giving you control and privacy. Private, secure, and powerful local operation for your agentic AI assistant is within reach, provided that you’re able to give OpenClaw plentiful VRAM, high-level processing power, and a good supply of storage.

OpenClaw setups often begin with a mini-PC or an old laptop, but many users find that they need more

Ideally, OpenClaw should operate on a PC different from your main rig with a fresh install of the operating system. This ensures that OpenClaw’s activities don’t limit your tasks, and it keeps you in full control of the data and applications to which OpenClaw has access.

People who run OpenClaw using cloud-based AI services don’t need an awful lot from the PC they pick. Efficient operation is quite welcome, considering that the system is designed to run 24/7. The built-in battery and screen of a laptop are convenient, though a mini-PC like the ASUS NUC 16 Pro allows for a super-compact setup that you can get up and running and then largely leave out of sight.

To run OpenClaw with local LLM power, you might need to invest in higher-level hardware. The LLM is the “brains” of the operation, driving every AI-powered task, and it relies on access to lots of fast memory. A PC with a healthy pool of system memory and a modern CPU can do a lot, especially if it also includes a GPU. But in order to boost your agentic AI assistant with higher-level reasoning and a vast context window able to juggle long conversations and complex tasks, you need high-bandwidth memory and massive compute density.

You have options for making that happen. Some folks build high-performance multi-GPU PCs. Some invest in a workstation. But there’s another option to consider, and it’s potentially both cheaper and easier to deploy. Meet the ASUS Ascent GX10. This petaflop-scale AI supercomputer puts everything you need for a local agentic AI assistant in the palm of your hand.

What is the ASUS Ascent GX10?

The ASUS Ascent GX10 is an ultra-small AI supercomputer. On first glance, it looks quite similar to a mini-PC. In a compact chassis, it houses PC components and cooling hardware, and you’ll find a range of ports tucked on the rear panel.

But the GX10 is no standard PC. You won’t install Windows on it. You can control it with a connected wired keyboard and mouse, but you’re most likely to control it over your network as a network appliance. At the hardware level, it’s built from the ground up for AI development and deployment. Accelerated by the NVIDIA GB10 Grace Blackwell Superchip and the NVIDIA AI software stack, it facilitates seamless integration and deployment. Key for your purposes in building a locally-run agentic AI assistant with OpenClaw, it offers a stunning 128GB of unified memory, putting incredible intelligence at your fingertips.

The Ascent GX10 is scalable, too. NVIDIA® ConnectX®-7 allows two GX10 systems to be linked for handling even larger models. When you need to boost your assistant’s capabilities, the capacity will be there and waiting.

Why makes the ASUS Ascent GX10 ideal for running an agentic AI assistant?

Several factors make the ASUS Ascent GX10 perfect for your OpenClaw setup.

First is the way that it’s designed to be set up and used. This isn’t an all-purpose machine that you’ll be tempted to try and use as both an AI assistant and your main driver, creating resource conflicts and potentially complicated data security. The Ascent GX10 is laser-focused on AI. Built to be controlled over the network, this super-efficient and cool-running compact supercomputer can operate in a safe and secure silo.

But don’t confuse small size with small performance. At the heart of the Ascent GX10 is the NVIDIA GB10 Grace Blackwell Superchip. This is a tightly integrated compute module that delivers 1 Petaflop of AI performance (FP4). Why does this matter? OpenClaw agents can struggle with “analysis paralysis” on standard hardware because of the latency between thinking (inference) and doing (tool-calling). The GX10’s Blackwell Tensor Cores eliminate this bottleneck, allowing your agent to cycle through complex reasoning loops in milliseconds rather than seconds.

The Ascent GX10 also stands out for its memory architecture. For many setups, memory is the primary bottleneck for expanding the capabilities of your agentic AI assistant. Traditional systems force you to split data between your system RAM and your GPU’s VRAM, creating a massive bottleneck during large-scale model inference. The GX10 utilizes 128GB of LPDDR5x coherent system memory, giving you the capacity to load models like Llama 3.1 70B or Nemotron-3 120B entirely into local memory with room to spare for massive 128k context windows.

It’s hard to overstate just how transformative the memory architecture of the Ascent GX10 is. Even if you bought the most powerful consumer graphics card on the market, you’d “only” have 32GB of RAM to work with. Don’t misunderstand us here: you can do an awful lot with 32GB of GDDR7, and the additional compute power and memory bandwidth offered by the desktop-class graphics card might be necessary for your workflow. But the Ascent GX10 offers four times as much memory capacity. This allows you to give your AI agents more intelligence, more reasoning capabilities, more capacity for sustaining longer conversations, and more capability to work with large datasets. All this means that in any AI context where memory capacity is king, the Ascent GX10 is an undeniable standout.

One final reason why the Ascent GX10 is an ideal pick for agentic AI. NVIDIA recently announced NemoClaw, an optimized software stack that adds privacy and security controls to OpenClaw. Here at ASUS, we can confirm the GX10 will be a primary “Agent-Ready” platform for this release. NemoClaw will introduce NVIDIA OpenShell, a secure, sandboxed environment that allows OpenClaw to execute terminal commands and manage files with built-in privacy guardrails. This means your agent can autonomously organize your drive or draft local reports without the security risks associated with unmonitored autonomous scripts.

The Ascent GX10 is more affordable than you might expect

The ASUS Ascent GX10 does require a larger investment than a standard mini-PC. But when you compare it other options for accessing this kind of AI performance and raw memory capacity, the GX10 stands out for not only being more affordable, but more compact and easier to deploy.

Right now, the ASUS Ascent GX10 is available in three options. All three are powered by the same NVIDIA Blackwell GPU and 128GB of LPDDR5x unified system memory, but differ when it comes to their storage solution. The 1TB and 2TB options ship with a PCIe 4.0 M.2 2242 SSD, whereas the higher-end 4TB option includes a PCIe 5.0 M.2 2242 SSD. Down the road, you can upgrade the drive if you find that you need more storage space.

Your agentic AI assistant doesn’t need to live in the cloud, dependent on a monthly subscription and a never-ending supply of tokens. Made possible by OpenClaw or NemoClaw, your assistant can work from the security and control over your own network and your hardware. And with the ASUS Ascent GX10, your assistant can offer incredible intelligence and functionality in a professional-grade, energy-efficient, space-saving design.

Agentic AI has fully arrived, bringing an all-new framework for research, work, play, communication, organization, and so much more. If you’re hitting resource limitations when deploy agentic AI with your current hardware, it’s time for a targeted upgrade. The ASUS Ascent GX10 is your turnkey solution for OpenClaw and more, and it’s available today. Follow the links below to purchase one of these compact AI supercomputers today.