Cache-Aware Ternary Inference on NPU
Precision shifts on the fly — full power when needed, whisper-quiet when not.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
Precision shifts on the fly — full power when needed, whisper-quiet when not.
What It IS
Technical VisionThe architectural essence — what makes this technology work
A neural network breathing — expanding to higher precision for complex decisions, contracting to ultra-efficient ternary for routine inference. The chip pulses between states like a living organism managing its energy. Computational respiration.
Abstract
Methods for optimizing data locality and cache utilization in ternary neural network inference on Binary NPU architectures, reducing memory bandwidth pressure.
Visual Essence
A neural network breathing — expanding to higher precision for complex decisions, contracting to ultra-efficient ternary for routine inference. The chip pulses between states like a living organism managing its energy. Computational respiration.
Technology Domains
Related Patents
From the silicon-awakening visual family
Ternary Neural Processing Unit Architecture for Binary NPU Optimization
Existing chips run ternary — no new silicon required.
Zero-Skip Gating for Ternary Neural Networks
Normalisation layers dissolve into the ternary fabric — no floating-point tax.
Ternary Weight Pruning and Sparsification
Weights and activations co-designed — the whole pipeline speaks three values.
Mixed-Precision Ternary Inference Scheduling
The architecture searches itself — evolution finds the optimal ternary shape.