What is 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 and Apple NPUs, GGUF, Apple MLX, and the latest SOTA models (Gemma3n, PaddleOCR).
Problem
Developers face manual integration and optimization of AI models across diverse hardware (NPU/GPU/CPU) and frameworks, leading to fragmented deployment processes and extended development cycles
Solution
SDK tool enabling local AI deployment across devices/backends via unified API, supporting Qualcomm/Apple NPUs, GGUF, MLX, and latest models (e.g., Gemma3n, PaddleOCR) for text/vision/audio generation
Customers
AI developers, ML engineers, and software engineers building cross-platform AI applications requiring hardware-agnostic deployment
Unique Features
First SDK to unify local AI deployment on all major chipsets (NPU/GPU/CPU) with framework interoperability and automated hardware optimization
User Comments
Reduced model deployment time from weeks to hours
Simplified Apple NPU integration
Eliminated cloud dependency for edge devices
Improved vision model performance on Qualcomm chips
Seamless GGUF model conversion
Traction
Supports 15+ hardware architectures
Integrated with 8+ frameworks (MLX/GGUF/etc.)
Partnered with Qualcomm and Apple for NPU optimization
600+ GitHub stars within 2 months of launch
Market Size
Edge AI software market projected to reach $2.1 billion by 2028 (MarketsandMarkets 2023)
