About This Site
Run any AI model locally - text, speech, vision understanding and image generation Nexa SDK is an on-device inference framework that runs any model on any device, across any backend. It runs on CPUs, GPUs, NPUs with backend support for CUDA, Metal, Vulkan, and Qualcomm NPU. It handles multiple input modalities including text 📝, image 🖼️, and audio 🎧. The SDK includes an OpenAI-compatible API server with support for JSON schema-based function calling and streaming. It supports model formats such as GGUF, MLX, Nexa AI's own .nexa format, enabling efficient quantized inference across diverse platforms.
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Key Features AI
Core Features
Run multimodal models (text, speech, vision understanding and image generation) locally
Integrate into on-device AI apps
First NPU-Aware Multimodal Inference Stack
Run models from Hugging Face
Supports model formats such as GGUF, MLX, Nexa AI's own .nexa format
OpenAI-compatible API server
Advantages
Supports a wide range of AI models (LLMs, multimodal, ASR, TTS)
Compatible with diverse devices (mobile, PC, automotive, IoT)
Optimized for multiple backends (NPU, GPU, CPU) with significant performance gains
Ensures privacy with on-device inference
Includes advanced model compression (NexaQuant) with zero accuracy loss
Easy integration with CLI and cross-platform SDK
Enables running frontier and SOTA models on devices
缺点：No explicit pricing information provided, requiring contact for sales
缺点：Requires developer expertise for integration and deployment
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