Deploying a global scale, AI voice agent with 500ms latency.

A recent webinar focused on building global, low-latency voice agents with sub-500ms response times through real-time speech pipelines using STT, LLMs, and TTS technologies. The discussion highlighted the importance of optimizing network latency and the use of Cerebrium for global deployment, which provides low latency and compliance with data residency requirements. Key components such as Speech-to-Text, Large Language Models, Text-to-Speech, and an agent framework were explored, emphasizing how they can be efficiently deployed to achieve performance goals. The use of Cerebrium allows for significant latency reductions through inter-cluster routing and autoscaling, providing a cost-effective solution at approximately $0.03 per minute per call. The platform supports deployment across various regions, offering the benefits of low latency and adherence to compliance requirements, making it an attractive option for teams working on voice agent projects.