Nvidia just released Personal AI Router (PAIR), a free open-source tool that links idle computers across your home network into a shared local AI compute cluster. It works with RTX 20-series GPUs and newer, plus Apple M4 chips, automatically stepping aside when you start gaming. A beta is out now for Windows, Linux, and macOS.
LM Studio just launched version 0.4.0, separating its core engine into a headless daemon named llmster that runs on cloud servers and CI pipelines without a GUI. The update also brings continuous batching for parallel inference via llama.cpp and a stateful REST API supporting local MCP tools. Why it matters: Local model testing can now scale seamlessly from personal laptops to remote headless rigs.
LM Studio just rolled out version 0.3.15, bringing CUDA 12.8 support and serious performance upgrades for NVIDIA GeForce RTX users. With CUDA graphs and Flash Attention kernels baked into llama.cpp, local model throughput jumps by up to 35% across RTX 20 Series through Blackwell GPUs. The update also adds granular tool_choice controls and an overhauled system prompt editor for running offline agents.
