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Local AI models, inference engines, and AI services running on home hardware. Covers tools like Ollama and LM Studio — what models they support, hardware requirements, GPU vs CPU inference, and integration with Home Assistant automations.
Physical and wireless network infrastructure for your home. Covers Wi-Fi, wired Ethernet, and the mesh radio layers used by Zigbee, Z-Wave, Thread, and Bluetooth device networks.
Application and integration protocols that connect devices, services, and automations. Covers MQTT, HTTP/REST, Matter, and device-level wireless protocols like Zigbee and Z-Wave.
Physical server hardware running home automation workloads. Covers home lab servers, NAS appliances, web servers, and the machines that host Home Assistant and supporting services.
AI servers provide the local compute layer for voice, vision, summarization, and orchestration workloads that should not live only in the cloud.
A homelab server is the always-on foundation for Home Assistant, containers, storage workflows, and the surrounding services a serious automation stack depends on.
