ai-services

Run concurrent AI services on a Raspberry Pi 5 by wrapping each hailo-apps application as a systemd service. This approach provides memory budgeting, thermal management, and dedicated REST APIs for simultaneous LLM inference, object detection, and speech-to-text processing.

Adopt proven API standards like COCO for computer vision tasks and Whisper for speech processing on Hailo-10H. These standardized REST API patterns ensure interoperability and simplify integration for object detection, pose estimation, and speech-to-text workflows.

Yes, you can run concurrent services by applying memory budgeting and thermal management strategies. The Skill provides patterns to execute Ollama LLM inference alongside computer vision tasks on the Hailo-10H NPU, each exposed through a dedicated REST API.

Manage system resources for multiple hailo-apps by implementing memory budgeting and thermal management strategies. The Skill outlines pragmatic deployment techniques to ensure efficient resource utilization and stable concurrent service execution on Raspberry Pi hardware.

Wrapping hailo-apps into systemd units is the recommended approach. It provides standardized deployment, process management, and health check endpoints for your REST APIs, ensuring stable execution of AI services on the Hailo-10H NPU.