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Self-Hosting AI: Reducing Infrastructure Costs from $1,069 to $140/mo

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From $1,069 to $140/mo: Self-Hosting a Complete AI Tech Stack with Dokploy, Supabase, and vLLM

Domonique Luchin successfully migrated six business units to a vertically integrated, self-hosted infrastructure. This transition slashed monthly operational expenditures from $1,069 to $140 while maintaining full ownership of the tech stack.

Why This Matters

Relying on managed platforms like Vercel, Railway, and third-party LLM APIs provides ease of entry but creates significant financial overhead as a company scales. By moving to self-hosted alternatives like Dokploy and vLLM, engineers can eliminate high subscription margins and gain granular control over data and inference, though this requires high-level DevOps proficiency to manage the increased complexity and maintenance.

Key Insights

  • Replacing managed deployment platforms with Dokploy allows for centralized management of multiple business units on owned hardware.
  • Migrating from Vercel and Railway to self-hosted infrastructure reduces monthly burn by over $900 for the same workload.
  • Self-hosting Supabase provides a full database and authentication layer without the ‘per-project’ pricing constraints of the managed service.
  • vLLM combined with fine-tuned Mistral models provides a high-performance alternative to expensive third-party LLM API calls.
  • Asterisk PBX serves as a self-managed alternative to VAPI for integrating voice capabilities into AI-driven business units.

Practical Applications

  • Use case: Consolidating multiple AI business units like StructCalc AI and Petroleum Noir on a single infrastructure to optimize hardware utilization. Pitfall: Lack of robust container isolation which can lead to a single unit consuming resources meant for others.
  • Use case: Implementing local inference for sensitive data processing using vLLM on private servers to ensure data privacy. Pitfall: Underestimating the maintenance requirements for GPU drivers and model orchestration in a production environment.

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