MediaSourced
Case Study: Hedra cut infrastructure costs 60% and tripled inference speed on Together AI
Hedra Case StudySourced & dated by Case Study Desk
Key results
The challenge
Hedra generates millions of AI videos monthly, a workload with volatile traffic spikes and heavy GPU demand. Managing its own autoscaling and unit economics at that scale was operationally costly.
The solution
Hedra migrated its video models to Together AI, running on NVIDIA Blackwell architecture with managed autoscaling and a committed base plus incremental flex capacity.
The results, in context
Together AI's page states the migration cut cloud costs by 60%, tripled inference speed on Blackwell hardware, and supported 300× growth in the company's compute usage while maintaining consistent performance and cost.
Products used
Together AI Dedicated EndpointsTogether AI NVIDIA Blackwell GPUsTogether AI Autoscaling