MOSS-TTS-Nano model performance on edge devices and deployment language flexibility.

This issue directly challenges MOSS-TTS-Nano's stated value proposition of "realtime speech generation" and "lightweight product integration" for edge devices. The user explicitly states the model is "still a bit slow" for edge contexts and questions the lack of C++ or Java deployment options, implying current Python-only deployment is a bottleneck. This indicates a critical gap between marketing claims and practical performance/integration needs for target users. For a model positioned for lightweight, CPU-only operation, the inability to meet performance expectations on edge hardware, coupled with limited language support for deployment, severely restricts its market applicability in embedded systems, mobile applications, or other low-resource environments where C++/Java are prevalent. Quantization is a standard optimization for such scenarios, and its absence or difficulty of application represents a missed opportunity for broader adoption.