LPP™ reduces dynamic switching power where it matters most — from datacenter accelerators to always‑on edge and wearable devices.
Across industries, switching power drives heat, throttling, battery constraints, and operational cost. LPP™ targets switching power directly — without reducing clock frequency — enabling new product envelopes and better economics.
Training and inference workloads are increasingly limited by power delivery, heat removal, and facility‑level operating cost. LPP™ helps reduce switching loss in high‑activity blocks, lowering heat dissipation and cooling burden while preserving performance.
Mining economics depend on energy cost and thermal stability. LPP™ can reduce switching energy in high‑frequency digital paths, helping improve efficiency while sustaining throughput and reducing heat‑related throttling.
Medical devices are often constrained by power and heat. By reducing dynamic switching power, LPP™ can extend operational life, enable smaller batteries, and support more continuous sensing and on‑device processing.
Wearables need continuous sensing and compute but are limited by small batteries and thermal comfort. LPP™ reduces switching loss so wearables can do more work per charge — without sacrificing responsiveness.
Mobile processors face battery and thermal constraints. By reducing switching power in high‑activity blocks, LPP™ supports longer battery life and can improve sustained performance by reducing thermal throttling.
Neurodevices often require continuous sensing and signal processing under tight energy constraints. LPP™ can help reduce switching loss in the digital processing chain, supporting longer device life and more robust feature sets.
Start with the whitepaper and we’ll follow up to align on blocks, nodes, and integration path.
