Nexa SDK

Nexa SDK

Run, build & ship local AI in minutes

4.9
7 reviews

860 followers

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).
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Nexa SDK gallery image
Free
Launch Team / Built With
Migma AI
Migma AI
Lovable for Email
Promoted

What do you think? …

Alex Chen

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

Lluís Rovira

@alexchen4ai Super exciting launch! 🚀 On-device AI that’s fast and private is exactly what a lot of devs have been waiting for. Love that you’re making it easier to tap into GPU/NPU acceleration without the usual complexity. Congrats on bringing this to the PH community!

Zack Li

@alexchen4ai  @lluisrovirale Thank you for your warm words, we are working on more features for developers, our next steps include MCP client support, AMD NPU and more

Alan Zhu

Our goal is to make on-device AI friction free!

Brandon McCoy

@alexchen4ai This is really exciting, love the launch! Congrats to you and your team.

I think our subscribers would be super excited to hear more about this. Not sure you're familiar with TLDR, but we have an audience of 6M+, highly engaged tech professionals, developers and enterprise decision-makers (41–48% open rates).


Would love to chat more if you're interested! Congrats again

Shake Lyu

@alexchen4ai Congratulations on your launch! It’s impressive how you’ve made on-device AI more accessible and efficient across multiple hardware types. What do you see as the biggest advantage of Nexa SDK compared to other on-device AI toolkits?🤔

Rachel Hu

@alexchen4ai Impressive team! Impressive work!

Cheng Ju

Congrats on launch Alex! This AI tool is exactly what the industry needs right now.

Zack Li

@audrey_adams thank you for your support, we are working on more developer features

Alan Zhu

@audrey_adams Thanks Audrey! Local AI is private, cost-efficient, and always available. It is the future of on-device AI infra.

Abdul Rehman

Congrats on the launch, Zack and Alex!

Just wondering if Nexa SDK could integrate with WebGPU for browser apps?

Zack Li

@abod_rehman Many thanks for your warm words! Yes, we can, we have a server solution and Java bindings. Would you please send an email to zack@nexa.ai and then I will follow up with your integration?

Alan Zhu

@abod_rehman Please feel free to join our discord community: https://discord.com/invite/nexa-ai. We will help you step by step!

Memekrs

@abod_rehman Are you a certified broker?

Muhammad Israr
Any plans for collaborative community libraries of workflows? That could drive faster adoption.
Zack Li

@muhammad_israr9 That is in our pipeline, including putting it on top Agentic frameworks such as langchain and LlamaIndex. If you have any request, feel free to give us a feature request at https://github.com/NexaAI/nexa-sdk

Alan Zhu

@muhammad_israr9 Great idea! Do you have any examples we can look at?

Zack Li

Greetings Product Hunters!

I’m Zack, CTO and co-founder of Nexa AI. I’m thrilled to share Nexa SDK — our on-device AI development toolkit designed for builders who want speed, privacy, and control.

🛠️ Our Technical Solution

- Unified runtime: CPU, GPU (CUDA, Metal, Vulkan), and NPU (Qualcomm, Apple, Intel)

- Multimodal support: text, vision, and audio (LLM, ASR, TTS, VLM)

- OpenAI-compatible API with JSON schema function calling & streaming

- Flexible model formats: GGUF, MLX, .nexa

- 5k+ GitHub stars and growing developer adoption

📌 What’s Next on Our Roadmap

1. Day-0 model support - Latest multimodal models available immediately

2. Expanded backend support - AMD NPU, Intel NPU multimodality, and more

3. Mobile compatibility - Native iOS and Android SDKs

We’ll be online all day — looking forward to your questions, feedback, and ideas!

👉 Try it now at https://github.com/NexaAI/nexa-sdk

Warm regards,

Zack

Alan Zhu

This is a truly a breakthrough local AI toolkit. Unlike Ollama, NexaSDK literally runs any model (Audio, Vision, Text, Image Gen, and even computer vision models like OCR, Object Detection) and more. To add more, NexaSDK supports Qualcomm, Apple, and Intel NPUs, which is the future of on-device AI chipset.

I look forward to hearing everyone's feedback.

Fullhasan Fullhasan

I enjoy how it lowers the barrier to building with AI.

Zack Li

@fullhasan_fullhasan thank you and we will keep iterating and improving

Alan Zhu

@fullhasan_fullhasan Thanks! We have features like OpenAI compatible open server so it is just a drop-in local AI integration for your existing cloud apps.

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