OpenClaw now on NVIDIA DGX Spark

27.3.2026

Local AI agents stop being an experiment and become a real tool for everyday work. One of the most interesting projects in this area is OpenClaw – an open-source AI agent that runs directly on your device.

It can now be run efficiently on NVIDIA DGX Spark, opening up new possibilities for businesses that want to use AI without relying on the cloud.

Your own autonomous agent under absolute control

OpenClaw (formerly known as Clawdbot or Moltbot) is a local-first AI agent, an assistant that runs directly on your device and does not depend on cloud services.

It can remember previous conversations and work with context, which allows it to interact with the user in a longer and more meaningful way. It also has access to your files and applications, so it can proactively help with everyday tasks. Its functionality can be further extended with community “skills” that add new capabilities and integrations.

In addition, OpenClaw works around the clock, so it can serve as a personal AI assistant that is always available.

Unlike conventional AI tools, it doesn’t depend on API services – the entire system, including the language model, runs locally, directly in your infrastructure.

Popular uses of OpenClaw

OpenClaw finds application in a wide range of practical scenarios across businesses and individual use.

Personal secretary: Can act as a personal AI secretary who has access to your email, calendar and files to help manage your schedule, prepare responses, send reminders or find convenient appointment times.
Proactive project management: it is also of strong use in project management, where it can proactively monitor project status via email or communication tools, automatically send updates and alert you to important tasks or delays.
Research agent: another area is information work and research. OpenClaw can combine web resources with your internal data to create reports, analyses, or documents that reflect your organization’s specific context.
Installation assistant: In a technical environment, it acts as a practical assistant for installations and system administration. It can search for necessary applications and libraries, run installations, and help debugging via the terminal, especially when linked to more powerful language models.

What it means for companies

The combination of OpenClaw and DGX Spark represents a fundamental shift in how companies can use AI. It allows you to deploy powerful AI solutions fully under your own control and without having to share sensitive data outside of your organization.

This gives companies greater flexibility, a higher level of security and the ability to build their own AI tools to suit their needs. This is especially key in areas where data protection is important.

Why the combination of OpenClaw and DGX Spark makes sense

Deploying OpenClaw on NVIDIA DGX Spark makes very good sense technologically and economically, especially with its fully local operation. OpenClaw and its language models run directly on the device, so all data stays inside your infrastructure.

This significantly increases the level of privacy while eliminating the ongoing costs of cloud API services.

DGX Spark is the ideal platform for this type of deployment. It runs on Linux, is designed for continuous operation, and can handle large local models thanks to its 128GB of memory. In practice, this means higher accuracy, better contextual understanding and overall more capable AI agent behavior.

The relatively simple deployment is also a great advantage. OpenClaw can be installed on DGX Spark and linked to the local language model, for example via LM Studio or Ollama.

The entire system runs entirely on your device – no data leaves Spark unless you consciously add external integrations.

The result is a powerful, always-available AI agent that you can control and that can be safely deployed even in environments with higher data protection requirements.

Safety: what to watch out for

OpenClaw is a very powerful tool that can access files, applications or communication channels. This is why it is important to pay close attention to security.

It is recommended to run OpenClaw on a separate or isolated system, such as a dedicated DGX Spark or a virtual environment, and only work with the data that the agent actually needs. It is also advisable to use separate user accounts with limited permissions.

When extending functionality, it is important to activate only trusted “skills”. Particular caution is required with tools that allow access to the file system or the execution of commands in a terminal, as the security risk increases significantly.

It is also essential not to expose the OpenClaw web interface publicly without adequate security. For remote access, it is advisable to use, for example, a VPN or SSH.

Regular activity monitoring and log checking should be part of safe operation.

Interested in an offer for NVIDIA DGX Spark?

If you would like more information or a quote for NVIDIA DGX Spark, please contact us and we’ll be happy to assist you.

Martin Petr

Server solutions

+420 603 290 619

martin.petr@mcomputers.cz

OpenClaw now on NVIDIA DGX Spark