Serving Voice AI at $1/hr - Open-source, LoRAs, Latency, Load Balancing

Learn how to deploy real-time text-to-speech AI systems at scale for just $1 per hour through this conference talk from the AI Engineer World's Fair. Discover the production deployment experience of Orpheus, an emotive real-time TTS system, covering critical aspects of latency optimization, high-fidelity voice cloning with practical examples, and load balancing across multiple GPUs using multiple LoRAs. Explore key challenges in voice cloning technology and understand how to manage latency issues including the "Head of Line Silence" problem. Gain insights into infrastructure design for batch inference, learn about leveraging vLLM and dynamic quantization techniques, and understand load balancing implementation using consistent hash ring architecture. The presentation covers system architecture overview and concludes with open source recommendations, providing practical knowledge for building cost-effective, real-time voice AI applications at production scale.