Many organizations want to run AI models privately but lack simple tools to deploy them on existing GPU hardware.
Create a packaged solution with server, dashboard, and quantization tools that works across NVIDIA/AMD hardware on Linux/Windows.
Enterprise teams will pay for privacy compliance and hardware utilization, while indie developers need accessible self-hosting options.
Start with a single-GPU version supporting major model formats, then expand to multi-GPU clusters.
Biggest risk is competition from cloud providers offering similar managed services.