Collaboration with Leading Tier 1 Taiwan Research Institute
| Stock | Dorsavi Ltd (DVL.ASX) |
|---|---|
| Release Time | 28 Jan 2026, 9:47 a.m. |
| Price Sensitive | Yes |
dorsaVi Enters Collaboration with Leading Taiwan Research Institute
- RRAM Collaboration with ITRI and NTU to advance proprietary RRAM platform to 22-nm technology node
- Partnership with world-leading ITRI to enable high-performance, low-power RRAM for robotics, wearables and AI-driven systems
- 22-nm RRAM program targets breakthrough performance and versatility for compute-in-memory and neuromorphic computing
dorsaVi Ltd has announced the commencement of a 22-nm RRAM fabrication and co-design program, undertaken in collaboration with Nanyang Technological University (NTU) and the Industrial Technology Research Institute (ITRI), to advance the Company's proprietary RRAM architecture into the 22-nm technology node. The 22-nm RRAM program represents a strategic inflection point for dorsaVi, advancing its RRAM technology platform into a technology sweet-spot node that delivers compelling performance and cost efficiency, enabling broad adoption of commercial-scale intelligent hardware. The program combines dorsaVi's proprietary system-level IP with deep RRAM device expertise developed in NTU and ITRI's advanced device and circuit co-design capabilities, to enable a customisable memory and in-memory computing platform that is configurable across a wide range of use cases and operating requirements. The 22-nm RRAM program is being designed to address multiple high-growth end markets where ultra-low latency, energy efficiency and on-device intelligence are critical system requirements, with a primary focus on the robotics market as the lead commercial opportunity.
The 22-nm RRAM program supports dorsaVi's strategy to integrate embedded memory, in-memory compute, neuromorphic processing and real-time sensor intelligence into a unified hardware platform. By reducing decreasing power consumption and data movement at the silicon level, this platform is intended to enable fast, energy-efficient decision making for robotics and other edge-based intelligent systems. These programs collectively form the foundation of dorsaVi's Ultra Edge Intelligence strategy, focused on moving sensing, decision-making, and action as close to the sensor as possible.