[NICU WARMER][UX] Real-time resource utilization display for NICU workloads #1808
Description
User Story
Who
Healthcare OEM/ODM developers and system architects who are evaluating Intel Core Ultra for NICU monitoring solutions. They care about whether the platform has enough CPU/GPU/NPU headroom to support current and future workloads.
What
A real-time resource utilization panel embedded in the NICU GUI that shows high-level system usage (e.g., CPU, integrated GPU, NPU) while the NICU workloads are running. The view should be simple and readable, not a deep profiling tool.
Why
They need a quick way to understand:
- How much of the Intel Core Ultra system is being used
- Whether multiple NICU workloads can run concurrently with sufficient margin
without having to open external tools or interpret raw telemetry. This helps them assess platform sizing and TCO when comparing Intel to alternative solutions.
How
The developer will:
- Start from a fresh Ubuntu 24.04 Intel Core Ultra system
- Use the documented one-command launcher to start the NICU demo
- Let the NICU workloads run (sample video or camera input)
- Observe a resource utilization panel in the NICU GUI that updates while the workloads are active, giving a high-level view of system usage
User Flow(s) and Acceptance Criteria
- Developer shall clone the Healthcare AI Suite repo (2026.1 tag) on a fresh Ubuntu 24.04 Intel Core Ultra (ARL or PTL) system.
- Developer shall use the documented NICU launcher script/command to start the NICU demo and open the GUI in the browser.
- While NICU workloads (patient, people, latch, workflow logic, rPPG) are running, the GUI shall display a real-time resource utilization panel using reusable components from the Edu AI Suite.
- The utilization panel shall:
- Show at least overall CPU usage and accelerator utilization (e.g., GPU/NPU) at a high level.
- Update periodically (e.g., every 1–2 seconds) while workloads are active.
- Use simple visuals (bars, gauges, or concise percentages) that are understandable to non-expert users.
- The utilization panel shall be accessible without additional configuration and visible from the main NICU dashboard or a single obvious tab/section.
- Developer shall be able to run the sample video or camera scenario and observe how utilization changes when:
- Additional workloads are activated (e.g., starting rPPG)
- Workloads become idle or stop
- KEI: From repo clone on fresh Ubuntu to viewing real-time resource utilization while NICU workloads are running shall be achievable within ≤ 60 minutes, including installation and reading the README.
Assumptions
- Intel Core Ultra (ARL/PTL) system is running Ubuntu 24.04 LTS as the baseline OS.
- Common utilization/telemetry components from the Edu AI Suite are available and can be integrated into the NICU GUI.
- NICU workloads are already integrated and running; this issue focuses on surfacing utilization in the UI, not on adding new workloads.
- Network access is available if any monitoring libraries or dependencies must be installed as part of the setup.