AI inference

Nexa SDK

Nexa SDK runs any model on any device, across any backend locally—text, vision, audio, speech, or image generation—on NPU, GPU, or CPU. It supports Qualcomm, Intel, AMD and Apple NPUs, GGUF, Apple MLX, and the latest SOTA models (Gemma3n, PaddleOCR).

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sdk.nexa.ai

Verified API available

Quick facts
What is it	Nexa SDK runs any model on any device, across any backend locally—text, vision, audio, speech, or image generation—on NPU, GPU, or CPU. It supports Qualcomm, Intel, AMD and Apple NPUs, GGUF, Apple MLX, and the latest SOTA models (Gemma3n, PaddleOCR).
Pricing	Unknown
Platform	Web Application
API	Yes
Best for	deploying computer vision models to mobile devices, running language models on edge devices offline
Domain registered	2018

Data updated Aug. 1, 2026

What does Nexa SDK do?

Nexa SDK is a developer toolkit that lets you run AI models directly on devices, bypassing the cloud. It's designed to handle the entire deployment pipeline, from selecting a model to running inference on various hardware backends like NPUs (Neural Processing Units), GPUs, and CPUs. You can use it via CLI, Python, or integrate it into Android and Linux applications, making it a versatile solution for getting AI to work locally on phones, computers, and other edge devices.

What makes it stand out is its focus on performance and hardware abstraction. It boasts significant speed (>5x) and energy efficiency (>9x) improvements, particularly when leveraging device NPUs from Qualcomm, Apple, AMD, and Intel. The toolkit includes NexaQuant, a proprietary compression technology that can shrink model sizes by up to 4x without losing accuracy, which is crucial for fitting powerful models into limited device memory. It also provides a hub of pre-optimized, state-of-the-art models ready for immediate deployment.

This tool is a boon for mobile developers, AI engineers, and product teams building applications that require fast, private, and offline AI capabilities. Real-world use cases include developing on-device assistants, real-time object detection for cameras, multilingual translation apps, and OCR tools that process documents without an internet connection. It’s ideal for anyone who needs to move AI inference out of the data center and directly into the user's hand.

AI inference Developer Tools

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Key features

What makes it stand out

Run models on NPU, GPU, and CPU backends from a single SDK

NexaQuant compression shrinks model size by 4x with no accuracy loss

CLI tool for instant model testing with one line of code

Access to a hub of pre-optimized, state-of-the-art AI models

Production-ready deployment for Android, Linux, and Python apps

Who is Nexa SDK for?

Who benefits most from this tool

deploying computer vision models to mobile devices

running language models on edge devices offline

implementing real-time AI features in IoT products

Trust & presence

Domain Domain registered 2018

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