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NVIDIA RTX Spark: All creatives need to know

The agentic age of computing is here.

NVIDIA RTX Spark: All creatives need to know

Microsoft and Nvidia unveiled the first wave of RTX Spark laptops last week in San Francisco, showcasing a new generation of AI-powered Windows machines. These laptops feature Arm-based chips instead of the traditional x64 architecture used by AMD and Intel. The unique combination of an Arm CPU, Blackwell GPU, and unified memory enables powerful AI models to run directly on the laptop, making the setup process for AI agents quick and easy.

Peter Dawoud, principal program manager at Microsoft, revealed that users will encounter a new "Get Started" experience upon first using an RTX Spark laptop. This streamlined process allows users to find, install, and launch their preferred AI agents with just two clicks, all through the Windows Store. Currently, Hermes, Perplexity, and OpenClaw are officially supported agents, with Meta's Muse expected to join later.

While RTX Spark laptops excel at running AI models locally, there are still limitations compared to cloud-based models. Large local models tend to be slower at responding to prompts, so users may find these laptops more useful for tasks that can be run overnight or in the background. Microsoft has optimized RTX Spark chips for various Windows laptop functions, such as emulation for apps without native Arm versions and memory optimization for loading large models into memory.

Microsoft has worked diligently to ensure RTX Spark laptops can support gaming, despite not being marketed as gaming machines. The platform now supports popular titles like Fortnite, Marvel Rivals, Arc Raiders, Counter-Strike 2, Dota 2, and more, thanks to anti-cheat vendor partnerships. Microsoft and Nvidia continue to fine-tune RTX Spark laptops for stability, performance, and compatibility, ensuring a smooth experience for users across a wide range of tasks.

Written by urgent.news from The Verge's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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