High Concurrency Processing Capabilities Implemented in Rust
Optimized for production environments, Kyutai's Rust implementation exhibits excellent concurrency performance. On servers equipped with L40S GPUs, the implementation can stably handle 64 real-time audio streams converted in parallel. Performance tests show that using the English model with 2.6B parameters, each stream occupies only about 1.5GB of GPU memory, and the entire system maintains a throughput efficiency of more than 90%.
The key to high performance lies in three designs: first, non-blocking IO processing based on asynchronous runtime (tokio); second, intelligent batch scheduling algorithms that dynamically merge multiple audio streams into optimized computation batches; and finally, memory pooling technology that multiplexes the memory space for intermediate computation results. The server uses WebSocket protocol to provide a streaming interface that supports thousands of simultaneous client connections.
According to official benchmarks, performance can be further increased on H100 GPUs to support concurrent processing of up to 400 audio streams. This capability already exceeds the concurrency cap of most commercial voice APIs, making it particularly suitable for large-scale voice application deployments.
This answer comes from the articleKyutai: Speech to text real-time conversion toolThe
