Deploying large models locally is painful - dependencies, hardware requirements, and configuration create friction. A streamlined solution could accelerate adoption.
Build pre-configured Docker containers or install scripts for popular models, with automatic hardware detection and optimization.
Monetize through enterprise support contracts and commercial licensing.
Start with a few popular models and expand based on demand.
The risk is cloud providers improving their local deployment options.