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.