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Yasha is an open-source self-hosted AI inference server that provides OpenAI-compatible API interfaces. It supports multiple AI capabilities including large language models, speech synthesis, speech recognition, embedding models, and image generation, offering enterprises and developers a complete private AI infrastructure solution.
Section 01
Yasha is an open-source self-hosted AI inference server that provides OpenAI-compatible API interfaces. It supports multimodal capabilities such as large language models, speech synthesis/recognition, embedding models, and image generation. It addresses data privacy risks and commercial API cost issues for enterprises and developers, offering a complete private AI infrastructure solution.
Section 02
With the rapid development of large models, enterprises are focusing on data privacy and cost control—third-party APIs have compliance risks and high pay-as-you-go costs. Self-hosting has become the first choice, but building multimodal services requires integrating multiple engines, handling dependencies, and designing unified interfaces. Yasha was born to solve these pain points through a single platform.
Section 03
Supports LLMs like Llama/Mistral (with vLLM/llama.cpp backends), Piper/Coqui TTS, Whisper STT, embedding models, and Stable Diffusion image generation, avoiding the complexity of separate deployments.
Existing SDKs can be used directly. It supports streaming responses, conversation management, and function calls. Migration only requires modifying endpoints and keys.
Local development (consumer-grade GPU/CPU can run quantized models), enterprise private cloud (Docker/K8s integration), edge computing (model quantization optimization).
Section 04
Section 05
Modular plugin architecture supports quick integration of new models; compatible with open-source ecosystems like Hugging Face/Ollama; provides a monitoring management interface (load/latency/Token metrics) and supports multi-tenant isolation for shared infrastructure.
Section 06
Official Docker Compose one-click deployment is provided; documentation covers the entire process from environment preparation to API calls; released under an open-source license, with an active community and continuous updates to model support and feature improvements.
Section 07
Yasha promotes the democratization of AI infrastructure, allowing enterprises/developers to enjoy the benefits of large models while protecting data privacy. The unified API and flexible deployment lower the threshold for self-hosting, paving the way for the popularization of private AI. It is the preferred solution for organizations focusing on data sovereignty and cost optimization.
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