> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nexa.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Overview
> Run NexaSDK in Docker containers for easy deployment and consistent environments on Linux ARM64.
## **Linux Docker Solution**
NexaSDK Docker enables you to run AI models in containerized environments on Linux ARM64 systems, optimized for Qualcomm NPU devices like Dragonwing IQ9. This solution provides a consistent, isolated environment for running inference workloads with support for both server mode (REST API) and interactive CLI usage.
## **Video Understanding on IQ9**
## **Key Features**
* **Containerized Deployment**: Run NexaSDK in isolated Docker containers
* **NPU Acceleration**: Optimized for Qualcomm NPU on Linux ARM64 (Dragonwing IQ9)
* **Dual Modes**: Support for both server mode (REST API) and interactive CLI
* **Easy Setup**: Simple pull and run commands
* **Multiple Model Types**: Support for LLM, Embeddings, Reranking, Computer Vision, and ASR models
## **Supported Models**
The following models are supported on Linux ARM64 with NPU acceleration (Dragonwing IQ9):
| Modality | Model |
| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **LLM** | [`NexaAI/LFM2-1.2B-npu`](https://huggingface.co/NexaAI/LFM2-1.2B-npu) [`NexaAI/Granite-4.0-h-350M-NPU`](https://huggingface.co/NexaAI/Granite-4.0-h-350M-NPU) |
| **VLM** | [`NexaAI/OmniNeural-4B`](https://huggingface.co/NexaAI/OmniNeural-4B) |
| **Embedding** | [`NexaAI/embeddinggemma-300m-npu`](https://huggingface.co/NexaAI/embeddinggemma-300m-npu) [`NexaAI/EmbedNeural`](https://huggingface.co/NexaAI/EmbedNeural) |
| **Rerank** | [`NexaAI/jina-v2-rerank-npu`](https://huggingface.co/NexaAI/jina-v2-rerank-npu) |
| **CV** | [`NexaAI/yolov12-npu`](https://huggingface.co/NexaAI/yolov12-npu) [`NexaAI/convnext-tiny-npu-IoT`](https://huggingface.co/NexaAI/convnext-tiny-npu-IoT) |
| **ASR** | [`NexaAI/parakeet-tdt-0.6b-v3-npu`](https://huggingface.co/NexaAI/parakeet-tdt-0.6b-v3-npu) |
## **Docker Hub**
The NexaSDK Docker image is available on Docker Hub:
View available tags and pull the latest NexaSDK Docker image
## **Get Started**
Get started with NexaSDK Docker in minutes. Learn how to pull the image, run in server mode, and use the CLI.
## **Linux Docker Solution**
NexaSDK Docker enables you to run AI models in containerized environments on Linux ARM64 systems, optimized for Qualcomm NPU devices like Dragonwing IQ9. This solution provides a consistent, isolated environment for running inference workloads with support for both server mode (REST API) and interactive CLI usage.
## **Video Understanding on IQ9**
## **Key Features**
* **Containerized Deployment**: Run NexaSDK in isolated Docker containers
* **NPU Acceleration**: Optimized for Qualcomm NPU on Linux ARM64 (Dragonwing IQ9)
* **Dual Modes**: Support for both server mode (REST API) and interactive CLI
* **Easy Setup**: Simple pull and run commands
* **Multiple Model Types**: Support for LLM, Embeddings, Reranking, Computer Vision, and ASR models
## **Supported Models**
The following models are supported on Linux ARM64 with NPU acceleration (Dragonwing IQ9):
| Modality | Model |
| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **LLM** | [`NexaAI/LFM2-1.2B-npu`](https://huggingface.co/NexaAI/LFM2-1.2B-npu)