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Reviewed and published by trentmaziarz, March 22, 2026. Discovered and drafted by our automated research pipeline.
Framework offers laptops and a desktop that include a dedicated AI processor — called a neural processing unit (NPU) — built into the chip, allowing AI tasks to run directly on the device without an internet connection. This capability first appeared in mid-2024 with Intel Core Ultra chips and expanded in early 2025 to AMD Ryzen AI 300 Series chips across the Laptop 13, Laptop 16, and Desktop product lines.
Details
An NPU (neural processing unit) is a specialized part of a computer chip designed to run AI workloads faster and more efficiently than a general-purpose processor. Framework's AMD Ryzen AI 300 Series chips carry an NPU rated at up to 50 TOPS (Tera Operations Per Second — a measure of AI processing speed). The Laptop 16 was updated with AMD Ryzen AI 300 Series chips in August 2025, with shipments beginning in late 2025, extending NPU availability to that product line as well. The AI capability comes entirely from chip suppliers AMD and Intel; Framework does not develop any proprietary AI software.
Products affected
Framework Laptop 13 (AMD Ryzen AI 300 Series)Framework Laptop 13 (Intel Core Ultra Series 1)Framework Laptop 16 (AMD Ryzen AI 300 Series)Framework Desktop (AMD Ryzen AI Max)
Sources & Evidence
News Article
Company Disclosure
Other practices by Framework
OtherFramework publicly mocked other PC makers for overusing AI branding in May–June 2024, then reversed course entirely by February 2025, placing AI-forward language prominently across its own product pages and launch announcements.ProductivityFramework publishes step-by-step guides teaching its customers how to run AI models locally on their hardware using free tools like LM Studio. The company has committed to releasing more guides covering AI image generation, code generation, and running multiple Desktops together to handle bigger models.OtherFramework deployed the Framework Desktop in February 2025, a compact mini PC built and explicitly marketed for running large AI models — like those that power chatbots — directly on a user's desk, without sending data to a cloud service.
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