diff --git a/docs/images/jps_vlm_workflow.gif b/docs/images/jps_vlm_workflow.gif new file mode 100644 index 00000000..64d98df1 Binary files /dev/null and b/docs/images/jps_vlm_workflow.gif differ diff --git a/docs/images/jps_vlm_workflow.png b/docs/images/jps_vlm_workflow.png new file mode 100644 index 00000000..475bd831 Binary files /dev/null and b/docs/images/jps_vlm_workflow.png differ diff --git a/docs/tutorial-intro.md b/docs/tutorial-intro.md index 631c98b5..b36047cb 100644 --- a/docs/tutorial-intro.md +++ b/docs/tutorial-intro.md @@ -50,6 +50,7 @@ Give your locally running LLM an access to vision! | :---------- | :----------------------------------- | | **[ROS2 Nodes](./ros.md)** | Optimized LLM and VLM provided as [ROS2 nodes](./ros.md) for robotics | | **[Holoscan SDK](./tutorial_holoscan.md)** | Use the [Holoscan-SDK](https://github.com/nvidia-holoscan/holoscan-sdk) to run high-throughput, low-latency edge AI pipelines | +| **[Jetson Platform Services](./tutorial_jps.md)** | Quickly build microservice driven vision applications with [Jetson Platform Services](https://developer.nvidia.com/embedded/jetpack/jetson-platform-services-get-started) | | **[Gapi Workflows](./tutorial_gapi_workflows.md)** | Integrating generative AI into real world environments | | **[Gapi Micro Services](./tutorial_gapi_microservices.md)** | Wrapping models and code to participate in systems | | **[Ultralytics YOLOv8](./tutorial_ultralytics.md)** | Run [Ultralytics](https://www.ultralytics.com) YOLOv8 on Jetson with NVIDIA TensorRT. | diff --git a/docs/tutorial_jps.md b/docs/tutorial_jps.md new file mode 100644 index 00000000..def8255f --- /dev/null +++ b/docs/tutorial_jps.md @@ -0,0 +1,42 @@ +# Tutorial - Jetson Platform Services + +Jetson Plaform Services (JPS) provide a platform to simplify development, deployment and management of Edge AI applications on NVIDIA Jetson. JPS is a modular & extensible architecture for developers to distill large complex applications into smaller modular microservice with APIs to integrate into other apps & services. At its core are a collection of AI services leveraging generative AI, deep learning, and analytics, which provide state of the art capabilities including video analytics, video understanding and summarization, text based prompting, zero shot detection and spatio temporal analysis of object movement. + +![VLM Workflow](images/jps_vlm_workflow.gif) +*VLM Alert Workflow built with JPS* + +!!! abstract "What you need" + + 1. One of the following Jetson devices: + + Jetson AGX Orin (64GB) + Jetson AGX Orin (32GB) + Jetson Orin NX (16GB) + Jetson Orin Nano (8GB) + + 2. Running one of the following versions of [JetPack](https://developer.nvidia.com/embedded/jetpack): + + JetPack 6 (L4T r36.x) + + 3. Sufficient storage space (preferably with NVMe SSD). + +To get started with Jetson Platform Services, follow the quickstart guide to install and setup JPS. Then explore the reference workflows to learn how to use DeepStream, Analytics, Generative AI and more with JPS: + +1) [Quick Start Guide](https://docs.nvidia.com/jetson/jps/setup/quick-start.html) +2) [AI Powered Network Video Recorder](https://docs.nvidia.com/jetson/jps/setup/ai-nvr.html) +3) [Zero Shot Detection with NanoOWL](https://docs.nvidia.com/jetson/jps/workflows/zero_shot_detection_workflow.html) +4) [Visual Language Model Alerts](https://docs.nvidia.com/jetson/jps/workflows/vlm_workflow.html) + + +The reference workflows demonstrate how to use the microservices provided in JPS to build full end to end systems on your Jetson. + +![JPS VLM Workflow](images/jps_vlm_workflow.png) +*VLM Alert Workflow Architecture* + +View the links below to learn more about Jetson Platform Services: +* [VLM Alert Blog](https://developer.nvidia.com/blog/develop-generative-ai-powered-visual-ai-agents-for-the-edge/) +* [JPS Product Page](https://developer.nvidia.com/embedded/jetpack/jetson-platform-services-get-started) +* [JPS Documentation](https://docs.nvidia.com/jetson/jps/moj-overview.html) +* VLM Alert Demo Video +