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.