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Self-hosted LLM stack in 2026

GPU server rack with cyan and violet neon light streaks reflecting off polished metal

What happened: Running local models stopped being a hobbyist experiment. Ollama, Open WebUI, and MCP have matured into a credible alternative to cloud APIs for teams that care about data residency and predictable costs.

Why it matters: A basement stack can now match last year's cloud latency for common tasks — summarization, code assist, RAG over internal docs — without sending prompts to third parties.

Who should care

  • Teams with compliance constraints on data leaving the network
  • Developers who want MCP tools wired to local filesystem and git
  • Anyone tired of per-token billing surprises on batch workloads

Recommended baseline

Ollama for inference, Open WebUI for chat, LiteLLM if you need a unified API gateway, Qdrant for embeddings. Add MCP servers incrementally — start with filesystem, not production databases.

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