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Nexa SDK

Run, build & ship local AI in minutes

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).

Top comment

Hello Product Hunters! 👋

I’m Alex, CEO and founder of NEXA AI, and I’m excited to share Nexa SDK: The easiest On-Device AI Toolkit for Developers to run AI models on CPU, GPU and NPU

At NEXA AI, we’ve always believed AI should be fast, private, and available anywhere — not locked to the cloud. But developers today face cloud latency, rising costs, and privacy concerns. That inspired us to build Nexa SDK, a developer-first toolkit for running multimodal AI fully on-device.

🚨 The Problem We're Solving

Developers today are stuck with a painful choice:

- Cloud APIs: Expensive, slow (200-500ms latency), and leak your sensitive data

- On-device solutions: Complex setup, limited hardware support, fragmented tooling

- Privacy concerns: Your users' data traveling to third-party servers

💡 How We Solve It

With Nexa SDK, you can:

- Run models like LLaMA, Qwen, Gemma, Parakeet, Stable Diffusion locally

- Get acceleration across CPU, GPU (CUDA, Metal, Vulkan), and NPU (Qualcomm, Apple, Intel)

- Build multimodal (text, vision, audio) apps in minutes

- Use an OpenAI-compatible API for seamless integration

- Choose from flexible formats: GGUF, MLX

📈 Our GitHub community has already grown to 4.9k+ stars, with developers building assistants, ASR/TTS pipelines, and vision-language tools. Now we’re opening it up to the wider Product Hunt community.

Best,

Alex