If you have a Ryzen AI Max+ 395 (Strix Halo) system with 128GB of RAM and you’re wondering why your local LLM host (be it LM Studio, Ollama, or whatever) can’t see most of that memory, this is the fix. AMD’s unified memory architecture means your CPU and GPU share the same physical RAM, but Windows needs to be told how much of it the GPU is allowed to use. By default, it’s VERY conservative. More info below and how
How 25,000 Junk Folders Were Silently Breaking My AI Document Organizer (Garbage In, Garbage Out) Thousands of (somewhat) zombie Quicken folders taken care of via compressing them into one 7z archive: Details: My AI File Organizer Was Fighting 25,000 Phantom Folders (And Losing 😜) For a while, my automated document filer was misbehaving. Scan an insurance card — it suggests filing it in a folder called Q-Final. Scan a bank statement — it wants to put it in Attach. The
Running Big LLMs on a Little Workstation: My Adventures with the ThinkPad P14s Gen 6 AMD I’ve been experimenting with large language models (LLMs) lately, and I wanted to see how far I could push things using a (relatively) inexpensive laptop. Enter the ThinkPad P14s Gen 6 AMD—a slim mobile workstation that set me back about $1,600. On paper it’s not exactly a “supercomputer,” but with the right configuration (and my go-to tool, LM Studio), it turns out this little