@valeridoesai: What if you could combine the memory and computing resources of multiple old laptops to run larger AI models locally? Meet Mesh LLM, an open-source project designed to distribute AI inference across multiple computers. Here's how the concept works: 💻 Connect your computers — Bring multiple machines into one private network. 🧠 Share model workloads — Route inference requests to machines with the required model components. ⚙️ Distribute model layers — Run models that exceed the memory capacity of a single computer by spreading their layers across multiple machines. 🔒 Run locally — Keep inference on your own hardware instead of relying on a cloud AI API. We're exploring this approach for our voice-agent builds, where keeping client call data off external AI APIs is important. Performance depends on the hardware, network bandwidth, model size, and configuration. Distributed inference also introduces network overhead, so adding more computers doesn't automatically make everything faster. Check the pinned below for the link! #LocalAI #OpenSource #AIInfrastructure #MeshLLM
