Nexa SDK - Run, build & ship local AI in minutes
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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).
Replies
Octoverse
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
@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!
NexaSDK for Mobile
@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
NexaSDK for Mobile
Our goal is to make on-device AI friction free!
@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
remio - Your Personal ChatGPT
@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?🤔
@alexchen4ai Impressive team! Impressive work!
MeDo by Baidu
Congrats on launch Alex! This AI tool is exactly what the industry needs right now.
NexaSDK for Mobile
@audrey_adams thank you for your support, we are working on more developer features
NexaSDK for Mobile
@audrey_adams Thanks Audrey! Local AI is private, cost-efficient, and always available. It is the future of on-device AI infra.
Triforce Todos
Congrats on the launch, Zack and Alex!
Just wondering if Nexa SDK could integrate with WebGPU for browser apps?
NexaSDK for Mobile
@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?
NexaSDK for Mobile
@abod_rehman Please feel free to join our discord community: https://discord.com/invite/nexa-ai. We will help you step by step!
@abod_rehman Are you a certified broker?
Nexa SDK
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
NexaSDK for Mobile
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.
Congrats on the launch, Alex! Love how you’re making on-device AI actually practical — the latency + privacy trade-off with cloud APIs is a real pain point.
The OpenAI-compatible API is a smart move too, since it lowers the switching cost for developers. Curious — have you seen more traction so far with folks building assistants, or with multimodal apps (like ASR/TTS and vision)?
Excited to see how Nexa SDK evolves!
NexaSDK for Mobile
@trgiangpham Your support means a lot to us. Yes, indeed, ASR/TTS and CV models have faster and more adoption especially in IoT devices.
NexaSDK for Mobile
@trgiangpham Thank you! Yes, multimodal AI is in high demand right now. ASR and Vision all capture richer context for the AI assistant to understand you more!
Very excited to see this! It also supports mobile app such as Nexa Studio!
NexaSDK for Mobile
@ren_zhang1 Haha sure
NexaSDK for Mobile
@ren_zhang1 Thanks Ryan! Mobile AI is the new trend.
Mom Clock
Congrats on the launch, Zack and Alex!
Just wondering, how does Nexa handle memory management when running large models like LLaMA or Stable Diffusion on local devices?
Octoverse
@justin2025 Hi Justin, thanks! We have many quantization options inside nexasdk. For example, with larger model, you can use more aggressive quantization such as 4bit or 2bit. In that case, the model can be fitted into your machine. We also have recommendation for users so that they can easily find the appropriate model to run on-device.
Nexa SDK is an impressive and versatile software development kit that significantly simplifies integration and accelerates app development. Its well-documented APIs and intuitive design make it accessible for both beginners and experienced developers. The SDK’s robust features, seamless performance, and reliability stand out, enabling quick implementation without compromising quality.
NexaSDK for Mobile
@sritama_bose Thanks for your warm words!
NexaSDK for Mobile
@sritama_bose Thanks for the support and we look forward to hearing your feedback.
This is great! We’ll be using it for CoreViz!
NexaSDK for Mobile
@wassgha Huge thanks, this means a lot for us! We would like to provide more engineering support, would you please send me an email zack@nexa4ai.com then we will closely work with you?
NexaSDK for Mobile
@wassgha Awesome! Please let us know if you have any feedback!