AI Usage at a Glance
May 30, 2024
OtherPractice documented: 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.
Practice DocumentedView practice →Jun 14, 2024
OtherPractice documented: Framework 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.
Practice DocumentedView practice →Feb 25, 2025
OtherPractice documented: Framework 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.
Practice DocumentedView practice →Feb 25, 2025
OtherNew evidence: Introducing the Framework Laptop 13 powered by AMD Ryzen AI 300 Series
Evidence AddedView practice →Feb 25, 2025
OtherNew evidence: Introducing the Framework Laptop 13 powered by AMD Ryzen AI 300 Series
Evidence AddedView practice →Mar 12, 2025
OtherNew evidence: Framework Desktop Deep Dive: Ryzen AI Max
Evidence AddedView practice →Apr 1, 2025
ProductivityPractice documented: Framework 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.
Practice DocumentedView practice →Apr 17, 2025
OtherNew evidence: Framework Laptop 13 (AMD Ryzen AI 300 Series) review: Increased performance at the expense of battery life
Evidence AddedView practice →Jul 7, 2025
ProductivityNew evidence: Using a Framework Desktop for local AI
Evidence AddedView practice →Aug 7, 2025
ProductivityNew evidence: Framework Desktop press reviews are live!
Evidence AddedView practice →Aug 7, 2025
OtherNew evidence: Framework Desktop (2025) Review: Powerful, but perhaps not for everyone
Evidence AddedView practice →Aug 26, 2025
OtherNew evidence: Framework Laptop 16 gets a 2025 upgrade — modular notebook gets RTX 5070 graphics, Zen 5 CPU options, and 240W Type-C charger
Evidence AddedView practice →Framework 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.
In May 2024, Framework posted on X (formerly Twitter) asking whether it was the only laptop maker not covering its website in AI branding, framing its restraint as commercially smart after announcing May 2024 as its highest-revenue month since founding. However, from February 2025 onward — coinciding with Framework adopting AMD Ryzen AI Max processors and launching the Desktop as a dedicated AI inference machine — Framework's official communications prominently feature AI-forward language, including terms like 'Ryzen AI,' 'heavy-duty AI compute,' and detailed positioning around local AI model use. This shift is documented across Framework's own product pages and blog posts.
Framework 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.
Framework 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.
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.
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Framework 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.
In 2025, Framework published a detailed official blog post walking users through setting up local AI using LM Studio — a free graphical app built on the open-source llama.cpp engine. The guide covers choosing a model, GPU offloading (shifting AI work to the graphics chip for speed), and quantization — a technique for compressing AI models so they fit on consumer hardware. Framework noted that AI inference runs about 20% faster on Fedora Linux than on Windows 11 on the same hardware. The company also opened a community forum thread asking users which AI and machine learning use cases they would like to see demonstrated, signaling active investment in this area.
Framework 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.
The Desktop uses AMD's Ryzen AI Max processors with a wide memory bus that makes large amounts of RAM accessible to its graphics chip, supporting up to 96 GB of graphics-addressable memory. This makes it well-suited for local AI inference — running large language models (LLMs) on personal hardware rather than through an online service. Framework's product page specifically highlights running models like Llama 70B as a use case. The company also promotes connecting multiple Desktops together over fast networking to run even larger models such as DeepSeek R1 671B. AMD gave away 100 Framework Desktop units to AI developers at launch to accelerate ecosystem development.
