Running large AI models locally on consumer hardware is now possible, but requires fine-tuning for performance. Developers need tools to compress and optimize models for the Surface Laptop Ultra's specs.
Create a SaaS that analyzes models and suggests optimizations for local deployment, with benchmarks for different hardware configurations.
AI teams and indie developers would pay for faster iteration and reduced cloud bills.
Start with a basic model analyzer that suggests quantization levels and layer pruning.
Risk: Hardware-specific optimizations may become obsolete with new chip releases.