AI Integration

AI assistants, local models, and AI features integrated into real workflows.

AI Integration

Local AI Development Lab

Problem

Cloud AI is useful, but it creates cost, rate-limit, and privacy constraints when the work involves private data or frequent experimentation.

Solution

Set up a local GPU lab for model serving, transcription, and retrieval so AI features can be developed and tested on private infrastructure before they are wired into applications.

Key Features

  • Local large-language-model inference
  • Speech-to-text pipeline for recordings and calls
  • Retrieval over private documents for knowledge-style workflows
Python PyTorch CUDA vLLM