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).
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
- 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.
I am very excited for your Nexa SDK. Your device is really working good and it is a stunning multimodal AI fully on-device.
Thanks for your innovation.
This is a game-changer. "Run, build & ship local AI in minutes" is exactly the promise developers have been waiting for. If Nexa SDK delivers on simplifying the local AI toolchain, it will unlock a new wave of privacy-focused and low-latency applications. Incredibly excited to try this out!
Nexa SDK is a cutting-edge tool designed to simplify the deployment of AI models across various devices, including NPUs, CPUs, and GPUs. It supports multimodal models that understand text, images, and audio, making it versatile for a wide range of applications. The SDK is optimized for Qualcomm and Intel NPUs, ensuring faster throughput and efficient inference. Target users include developers, AI researchers, and enterprises looking to integrate advanced AI capabilities into their products seamlessly.
This project is the future. It is what we users need without knowing we need them
This product looks really promising. I think it will help a lot of people save time and work more efficiently. Congrats on the launch.
Hey @alexchen4ai . I am james founder of Tattoo AI Design. NEXA AI is an useful SDK for AI builders. Congrats for the launch!
@alexchen4ai congratulations and happy product hunt!
The Nexa SDK is impressive for local AI development. I’ve used it to run Gemma and Stable Diffusion models on both CPU and NPU, and the performance is smooth.
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