local llm.

Everything we've published on local llm across guides, agents, hardware reviews and glossary entries: 11 entries in total.

Guides (2)

Hardware (7)

  • Raspberry Pi 5

    Raspberry Pi 5 for self-hosted AI: four Cortex-A76 cores, 1 to 16 GB of LPDDR4X. Hosts Hermes Agent (no browser tool) or Nanobot; local models up to about 3B.

  • Mac Mini M4 / M4 Pro

    Mac mini M4 and M4 Pro for local LLMs: 16 to 64 GB of unified memory at 120 or 273 GB/s, the two specs that decide which models load and how fast.

  • Framework Laptop 13 / 16

    Repairable, modular laptop with strong Linux support. The right choice if you want a portable agent host that doubles as a daily driver.

  • MacBook Air M3 / M4

    Fanless laptop with up to 24 GB unified memory. Runs Mistral 7B Q4 silently on the train. €1,299+.

  • Minisforum UM790 Pro

    Minisforum UM790 Pro: Ryzen 9 7940HS with Radeon 780M graphics and up to 64 GB of DDR5, for a Linux agent host that also runs local models.

  • Dell OptiPlex 3070 / 5070 Micro (used)

    €100-180 used Intel mini PC. 8th gen i5, 8-16 GB RAM, NVMe. The cheapest credible mini PC for self-hosted AI.

  • Geekom Mini Air 12

    Sub-€300 fanless Intel N100 mini PC with 16 GB RAM. The silent always-on tier.

Glossary (2)

  • Local LLM :A language model running on your own hardware instead of behind a cloud API: Llama, Qwen, Mistral and other open-weight models.
  • Ollama :Local LLM runtime that exposes an OpenAI-compatible API over local model weights.