Nexa SDK

Overview

Deploy and run efficient on-device AI models for apps.

Nexa SDK is a development kit designed to streamline on-device AI model deployment across various hardware backends, including NPU, GPU, and CPU. It allows developers to efficiently run state-of-the-art models like Qwen3-8B for multilingual tasks and NPU-optimized variants such as Granite and Parakeet for speech recognition and image processing.

The SDK supports advanced task-specific models for image classification, text reranking, and real-time object detection, enhancing application versatility. With comprehensive documentation and a user-friendly CLI for rapid prototyping, Nexa SDK enables the seamless integration of cutting-edge AI capabilities into applications while ensuring optimal resource utilization and memory efficiency.

Use Cases

• Deploy state-of-the-art multilingual AI models in mobile applications using Nexa SDK, ensuring efficient performance on various hardware platforms such as NPU, GPU, and CPU without the need for extensive coding skills.
• Utilize Nexa SDK to enhance a retail app with real-time object detection capabilities, enabling users to quickly identify products through their smartphone cameras, improving customer experience and engagement.
• Integrate advanced image classification features into a healthcare application with Nexa SDK, allowing medical professionals to analyze images efficiently and make informed decisions while optimizing resource utilization and system performance.

Who Is It For

• Software developers
• Product managers
• Ai researchers
• Multilingual developers
• Speech recognition specialists