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10 posts tagged with "AI"
Parts 1 and 2 explained the stack. A model does math, the compute layer translates that math, and the hardware path decides whether your GPU or CPU d…
Running one local model is useful. Running a local AI server is a bigger idea. A server gives every app on your machine one stable place to send AI w…
The useful contribution to Lemonade is not just "make local AI run." It is more specific than that: make the right AMD hardware take the right accele…
A modern graphics card spends most of its life doing one thing: multiplying enormous tables of numbers together, thousands of operations per second, …
Imagine installing a local AI tool on your gaming PC. You have a Radeon RX 7900 XT in there, a card with 20 GB of memory built for exactly the kind o…
You do not need a cloud subscription to run AI. You do not need to send your questions to a server in another city, agree to any terms about your dat…
Welcome to a new series where we explore the practicalities of running a fully local, AI-augmented development environment. The goal isn't just to ha…
Most teams still talk about AI products as if the interface is just a chat box. That framing is already outdated. Modern language models are no longe…
The coordination problem is the real problem. Not whether AI can write code; it can. Not whether it can parse documents, draft reports, or run analys…
Imagine a mobile app where you chat with AI agents to build and manage your codebase. Describe what you want, and autonomous agents architect, code, …