… Create a new configuration file for your model some examples can be found below driver configs/my model.yaml @package global services: driver: image: command: - " " And run: uv run alpasim wizard deploy=local topology=1gpu driver= wizard.log dir=$PWD/tutorial Examples of customization using the CLI… …
… Process Low-Latency Sensor Data Over Ethernet With Holoscan Sensor Bridge Holoscan Sensor Bridge seamlessly handles high-bandwidth data from diverse sensors over Ethernet, enabling real-time, high-performance AI processing. …
… It’s ideal for high-performance perception, localization, and AI in robotics applications. NVIDIA Holoscan SDK NVIDIA Holoscan SDK is a streaming AI framework for building real-time sensor-processing applications at the edge. …
… This keeps integration straightforward and limits the bandwidth required between sensor and compute platform. …
… Early access builds may change APIs between releases; NVIDIA publishes migration notes and solicits feedback via GitHub and the Omniverse Discord . During early access, we are focusing on expanding coverage physics features, sensor models and optimizing GPU utilization. …
… Both samples support Docker deployment for quick testing: WebGL sample docker build -t cloudxr-js-sample --build-arg EXAMPLE NAME=simple . docker run -d --name cloudxr-js-sample -p 8080:80 -p 8443:443 cloudxr-js-sample React sample docker build -t cloudxr-react-sample --build-arg EXAMPLE NAME=react… …
… This file is then sent to the local Windows system, where it is played for the user in the VR setup. …
… It can be used as a front end to pose estimators like FoundationPose, so it can localize objects using 2D bounding boxes before pose estimation. …
… Step 4 : The generated code will have the deployment scripts and access APIs via Swagger UI at http://localhost:8080/docs or curl . …
… She builds and optimizes enterprise-ready, multi-modal agentic AI systems and enables their large-scale deployment. …