Run LLM, multimodal, ASR, and TTS models efficiently on PCs, mobile, automotive, and IoT devices using NPUs, GPUs, and CPUs for on-device AI applications.
Nexa SDK is a cross-platform runtime and tooling layer that enables developers to deploy and run large language models, multimodal models, automatic speech recognition (ASR), and text-to-speech (TTS) directly on end devices. It is designed to bring production-grade AI inference to PCs, mobile devices, automotive systems, and IoT hardware while maintaining low latency and strong data privacy by keeping processing on-device whenever possible. The SDK abstracts hardware complexity, allowing teams to focus on application logic instead of model plumbing and optimization details.
Under the hood, Nexa SDK provides optimized execution pipelines for NPU, GPU, and CPU, automatically selecting the best available accelerator for each workload. It supports quantized and compressed models to fit resource-constrained environments while preserving acceptable accuracy, and exposes a unified API for text, vision, and audio tasks. The SDK handles model loading, scheduling, and streaming I/O, including real-time ASR and low-latency TTS synthesis, and is built to integrate with existing mobile and embedded development workflows. Developers can also take advantage of built-in logging, performance profiling, and resource management to meet production requirements.
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