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Power-Constrained Computing

The greatest challenge of Edge AI is not just the intelligence itself, but the power budget. Most IoT devices must run for months or years on a single battery.

Defining the Microwatt Scale​

While typical mobile processors operate in the milliwatt range, eFabric™ targets the microwatt scale.

This is a fundamental differentiator of the platform: it is built specifically for ultra-low-power silicon that consumes orders of magnitude less power than general-purpose microcontrollers.

Battery Life Optimization for IoT Devices​

To achieve battery-friendly longevity, eFabric™ leverages dedicated Neural Decision Processors (NDP).

These chips are designed to:

  • Perform complex neural network calculations
  • Keep the host MCU asleep during inference
  • Significantly extend operational battery life
  • Reduce unnecessary system wake cycles

This architecture enables ultra-efficient always-on monitoring.

Thermal Management in Ultra-Low-Power Silicon​

Because these models operate at extremely low power, they generate negligible heat.

This enables:

  • Smaller and more compact device designs
  • Fully sealed industrial enclosures
  • Wearable devices without ventilation requirements
  • No need for complex cooling systems

Ultra-low-power operation directly translates into improved device reliability and form factor flexibility.