Your Model Doesn't Matter. Your Infrastructure Does.

DigitalOcean argues that AI infrastructure matters more than model selection, since all teams have access to the same LLMs. Their platform offers three inference modes — serverless (pay-per-token), dedicated GPU (hourly), and an Intelligent Router — all sharing the same API and billing. The router automatically selects the cheapest appropriate model per request, demonstrated cutting costs by 97% on a code generation task. A break-even calculator helps teams decide when to move from serverless to dedicated GPUs based on request volume and model pricing. The pitch: teams can scale from prototype to production without switching providers, rewriting code, or renegotiating contracts.