Owners of NVIDIA's GeForce RTX GPUs & DGX Spark systems can enjoy OpenClaw AI Agent on their system for free with boosted performance.
Planning To Run OpenClaw On Your RTX System? NVIDIA Dishes Out A Full Guide That Enables Users To Run Local AI Agents On RTX GPUs & DGX Spark
Recently, AI Agents such as Clawbot, Motlbot, and OpenClaw have become very popular. These agents act as your personalized AI assistants and run on virtually any machine with persistent memory support and the ability for users to give access to the entire system. Openclaw has also been gaining popularity due to its "local-first" architecture, and combining a vast range of capabilities in a single local assistant.
Here are some popular use cases:
- Personal Secretary: With access to your inbox, calendar, and files, OpenClaw can help you manage your schedule autonomously. It drafts replies to emails using context from your files and previous emails, sends reminders you have asked for, before time, and arranges meetings, finding open slots on your calendar.
- Proactive Project Management: OpenClaw can check up regularly on the status of a project over the email or messaging channels you use, send you status checks, and follow up / send reminders as needed
- Research Agent: With personalized context from your apps, OpenClaw can create reports combining search from the internet and your files
Many users have been trying out these local AI agents, and NVIDIA has offered a guide on how to get them up and running locally on your machines. Best of all, NVIDIA's GeForce RTX GPUs & DGX Spark systems are well-suited for Openclaw thanks to the vastly improved AI performance that NVIDIA offers on its RTX AI platforms.
Recent updates to DGX Spark have boosted its performance by 2.5x since launch, while RTX AI GPUs have seen 35% faster LLM and 3x faster creative AI performance thanks to the utilization of the new NVFP4 instruction set. Following are a few requirements to get started:
- Windows setup via WSL
- Local LLM configuration with LM Studio or Ollama
- Recommended model pairings by GPU memory tier — from smaller 4B models on 8–12GB GPUs up to gpt-oss-120B on DGX Spark with 128GB of memory.
OpenClaw is based on LLMs (Large Language Models) and with an abundant 128 GB memory pool that is available on the DGX Spark AI system, users can enjoy a fully localized and speedy AI agent. Both NVIDIA RTX GPUs and the DGX Spark systems are powered by the latest Tensor Cores, which accelerate AI workflows, and CUDA acceleration offers that further boost what users expect from their NVIDIA-powered PCs.
You can check out the full guide on how to get OpenClaw up and running on your RTX AI PCs, such as DGX Spark or those equipped with NVIDIA GeForce RTX GPUs.
About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
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