This category covers the software that runs on the machines in our End User reviews, with the current focus on local LLM tools: desktop apps and runtimes such as Jan, LM Studio, and Ollama that download an open-weight model and serve it from a laptop or workstation GPU. Each hands-on installs the tool from scratch on lab hardware, works through model download, GPU offload, and the settings that matter, and measures decode throughput so results can be compared across tools on the same system. The category also holds the drive utilities and homelab guides we have published over the years, from Samsung Magician and the Solidigm Synergy toolkit to Proxmox and pfSense builds.
If you are choosing a tool, start with our Best Local LLM Tools leaderboard, which ranks runtimes, desktop apps, and agent frameworks and links each hands-on guide as it publishes. For the hardware side, the Best Laptops for Local AI and Best Desktops for Local AI pages rank systems on measured model performance, and our agentic AI hardware sizing guide covers how much VRAM, RAM, and storage a given model needs before you buy.