Companies deploying large language models face slow response times and high compute costs. Speculative decoding can dramatically improve both but requires specialized knowledge.
Offer consulting to analyze models and implement optimization techniques. Provide benchmarks and ongoing tuning services.
Startups running their own models would pay for measurable performance gains. Offer success-based pricing.
Start with audits and recommendations. Build automation tools later.
The risk is techniques becoming standardized and automated quickly.