AIToday
Large Language ModelsAI Business & IndustryTechCrunch AIPublished: Jun 2, 2026, 07:00 JST

Nvidia unveils RTX Spark PC chip designed to run AI agents, with models from Microsoft, Dell, HP and others launching this fall

Nvidia unveils RTX Spark PC chip designed to run AI agents, with models from Microsoft, Dell, HP and others launching this fall

3 Key Points

  1. Nvidia introduced the RTX Spark, a 1-petaflop CPU, at Computex, positioning it to run AI agents like OpenClaw or Hermes Agent securely. PCs powered by RTX Spark will be available this fall from ASUS, Dell, HP, Lenovo, Microsoft Surface, MSI, with models from Acer and Gigabyte to follow.

  2. The RTX Spark PCs will include secure sandboxes jointly developed with Microsoft, plus CPU, GPU, RAM and Nvidia CUDA software to run local versions of large language models (AI systems that understand and generate text). Nvidia says RTX technology will deliver faster performance for AI, better image quality, and support for AI features in more than 1,000 games and applications.

  3. Nvidia CEO Jensen Huang has publicly targeted a $200 billion market opportunity in CPUs for AI. The company previously sold $20 billion worth of its high-end server CPU called Vera. More than 100 Windows software makers, including Adobe, Blender, Riot Games and Xbox, have signed on to support the RTX Spark chip.

  4. These systems appear to be full-fledged Windows versions of the DGX Spark mini-computer that Nvidia already sells to developers for about $4,800. PC manufacturers have not yet released pricing or detailed specifications for their individual RTX Spark offerings.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleAmazon Quick Research launches unified environment for integrating biomedical data sources in rare cancer investigations