• RRAM development program underway with initial test silicon received
• Targeting advanced 22-nm RRAM platform to support future memory demand in robotics, drones and autonomous systems
• Shift toward in-memory computing architectures to address emerging 'memory wall' and 'power wall' constraints

dorsaVi Ltd has received its initial RRAM test wafer and commenced early-stage device characterization as part of its RRAM development program. The program forms part of the Company's staged development pathway toward an advanced 22-nm RRAM platform and a more scalable manufacturing flow, intended to support more memory-efficient, low-latency architectures for edge and embedded AI applications such as robotics, drones and autonomous systems. Recent industry reporting indicates that surging AI training and inference workloads are placing sustained pressure on global memory supply chains, as HBM and server DRAM capacity is increasingly prioritized by major memory manufacturers. At a system level, modern AI accelerators require materially higher memory bandwidth and capacity than traditional computing devices, with performance increasingly constrained not only by compute capability, but by the ability to feed processors with data - an effect often described as the 'memory wall'. These dynamics are accelerating industry interest in in-memory and neuromorphic architectures that reduce data movement and enable computation closer to the data source, improving performance per watt and lowering reliance on scarce, high-cost memory bandwidth. dorsaVi's RRAM roadmap is closely aligned with its neuromorphic computing portfolio, which is designed to use emerging memories such as RRAM not only to store AI weights, but also to perform in-memory and analog-style computation, retain data without power and operate at very low energy. The Company believes that transitioning its RRAM technology from 40-nm to a neuromorphic-ready 22-nm node is an important step toward manufacturable, advanced-node silicon that can underpin these ultra-edge use cases.

dorsaVi will continue to progress its RRAM and neuromorphic computing programs through further development, validation and commercialization milestones. The Company believes that ongoing pressure on conventional memory supply, combined with accelerating adoption of edge-AI systems, reinforces the strategic relevance of its advanced-node RRAM roadmap.