Dippy AI, a startup founded in April 2024, has grown to over 4 million users creating and publishing unique AI characters and exchanging messages with them, but faced challenges managing infrastructure at scale. To address this, they partnered with Together AI engineers to deploy their custom models on Together Dedicated Endpoints, leveraging optimized GPU infrastructure to handle volumes of 4M+ tokens/minute with optimal "throughput per dollar" without spending time managing the infrastructure. This partnership enabled Dippy AI's team to focus on building user-facing features and enhancing the user experience, while reducing latency and cost. With the out-of-the-box auto-scaling of Together Dedicated Endpoints, Dippy experienced predictable, steady availability, with no capacity issues, resulting in consistent, uninterrupted interactions for their users. The partnership has allowed Dippy AI to meet and improve KPIs such as Time to First Token, Throughput, and Latency, while enabling the team to focus on improving the product and user experience. Together Dedicated Endpoints have also provided lower cost, faster training, and network compression, supporting upcoming innovations like voice calls and state-of-the-art AI audio models.