High Concurrency Voice System Optimization Solution
For production environments that need to handle large numbers of concurrent voice requests, the Kyutai project offers the following optimization strategies:
- Hardware Configuration OptionsThe L40S GPU supports 64 channels of real-time audio streaming as standard, and the H100 GPU can be expanded to 400 channels with more than 16GB of video memory.
- Rust Server Deployment: Compile with
--releaseFlag to optimize performance, batch size is recommended to be set to the maximum number of parallelism supported by the hardware - WebSocket Connection Management: Keep long connections to reduce handshake overhead, set a reasonable timeout (30-60 seconds recommended)
- Load Balancing Solution: Nginx can be used for traffic distribution in multi-server deployments, and the configuration file refers to GitHub's
nginx.conf.example
Test data shows that in an optimized environment, a single H100 server can simultaneously handle: 400 real-time STT requests or 200 TTS synthesis tasks. It is recommended to monitor GPU utilization keeping 70%-80% to avoid overload.
This answer comes from the articleKyutai: Speech to text real-time conversion toolThe
May not be reproduced without permission:AI productivity tools " How to optimize the concurrent processing power of voice interaction systems in production environments?
