LiveKit implements three major technological innovations based on traditional WebRTC:
- Intelligent Streaming Routing: SFU architecture only forwards the required media streams (e.g., only speaker video), saving 50%-80% of bandwidth compared to mesh architecture, reducing server costs by 90% in a 1,000-person meeting scenario.
- Full-featured SDK Matrix: Provide the packaging layer of modern frameworks such as React/Flutter, solving the problems of complexity and poor platform compatibility of native WebRTC APIs
- AI-ready architecture: Built-in AI processing pipeline supporting real-time audio streams/video frames, which can seamlessly interface with AI models such as ASR (speech recognition), TTS (speech synthesis), etc.
Measured data shows that: in a 100-person video conference, LiveKit's CPU utilization is 42% lower than that of Janus, and the rendering time of the first frame is controlled within 300ms. Its unique Ingress feature supports converting RTMP streams to WebRTC streams, realizing the integration of traditional live broadcasting and real-time interaction.
This answer comes from the articleLiveKit: an open source tool for building real-time audio and video applicationsThe
May not be reproduced without permission:AI productivity tools " What are the technical advantages of LiveKit over traditional WebRTC solutions?
