June 2025 Summaries

A recent webinar on building global, low-latency voice agents highlighted the demand for practical, scalable solutions to create real-time speech pipelines optimized for sub-500ms response times. The discussion centered around constructing a voice agent that integrates core components like speech-to-text (STT), a large language model (LLM), text-to-speech (TTS), media transport, and an agent framework, all deployed globally on Cerebrium to enhance performance and compliance while minimizing costs. The post elaborates on deploying these components using partnerships with companies like Deepgram for STT and various models for LLM and TTS to achieve low network latency through inter-cluster routing. The architecture enables autoscaling and multi-region deployment, meeting data residency and compliance requirements. The solution is cost-effective, offering a pricing model of approximately $0.03 per minute per call, with the potential for volume discounts, making it a viable option for those looking to build or optimize voice agents.

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.