
What is Nexa.ai
Nexa AI provides enterprise-grade on-device AI solutions that enable the training, optimization, and deployment of multimodal AI models locally on any device. With support for NPUs, GPUs, and CPUs, Nexa AI ensures low development effort and high performance for applications across vision, text, and audio domains.
How to Use Nexa.ai
- Install Nexa SDK: Download and install the Nexa SDK via Python Package or Executable Installer.
- Deploy Models: Use the SDK to deploy ONNX and GGML models for text generation, image generation, vision-language models, audio-language models, and more.
- Interact with Models: Utilize the interactive UI built with Streamlit for easy model interaction and testing.
- Optimize for Devices: Leverage multi-device support for CPUs, GPUs, NPUs, and more to optimize performance.
Use Cases of Nexa.ai
Nexa AI is ideal for businesses and developers looking to deploy AI solutions on-premise or on any device. Use cases include private AI for sensitive data, cost-efficient AI for edge devices, low-latency AI for real-time applications, and offline AI for environments without internet connectivity.
Features of Nexa.ai
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Multi-Device Support
Supports deployment on CPUs, GPUs (CUDA, Metal, ROCm, Vulkan), NPUs, PCs, mobiles, wearables, automobiles, and robotics.
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OpenAI-Compatible Server
Supports function calling and streaming with JSON schema for seamless integration.
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Interactive UI
Built with Streamlit for easy model interaction and testing.
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Customized On-Device Models
Fine-tuned models optimized for specific data and use cases, with quantization for efficient deployment.