Muse Charm Power Budget Lab

Design a handheld AI wearable. Adjust battery, compute, thermal, and cellular parameters. Watch real-time consequences on device thermals, battery life, and latency. Export a complete spec sheet.

Source: @CoinDesk — Meta announces Muse Charm, a handheld AI agent device requiring no phone, computer, or glasses.

Live Simulation

Custom configuration
Battery life
Peak temp rise
Cloud latency
Throttle time
THERMAL STEADY STATE
Battery SoC Modem Hotspot Heat pipe
Adjust parameters to see live simulation.

How to read the simulation

Battery life

Calculated from total capacity divided by average power draw across all subsystems. Includes idle drain, active compute, modem transmission, and thermal solution overhead. Real-world variance ±15%.

Thermal throttling

When SoC junction temperature exceeds 85°C, the simulator reduces compute frequency. Throttle time shows percentage of active minutes spent throttled. Sustained throttling degrades user experience.

Cloud latency

Round-trip latency for cloud fallback requests. LTE-M adds 80–150ms; 5G adds 30–60ms. On-device inference has ~10ms latency. The workload profile determines fallback frequency.

Heat flow visualization

The cross-section shows real-time heat generation (orange/red) and dissipation paths (purple pipes). Particle density = heat flux. Color intensity = temperature. Watch for hotspot formation near SoC.

Preset configurations

Minimalist — Maximum battery life, cloud-only. Balanced — On-device for common tasks. Performance — Maximum on-device capability. Always-connected — 5G + active cooling.

Export formats

JSON spec includes all parameters and computed results for engineering handoff. PNG captures the current thermal diagram. CSV provides time-series data for 60 minutes of simulated operation.

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