- Enabling excessive densities wanted for discrete chips utilizing customary supplies and instruments
- Selector know-how additionally appropriate for the embedded market, a big step ahead for edge AI and automotive purposes
- Greatly will increase the variety of attainable purposes for Weebit Nano’s know-how
HOD HASHARON, Israel, Oct. 13, 2022 (GLOBE NEWSWIRE) — Weebit Nano Limited (ASX:WBT; Weebit or the Company), a number one developer of next-generation reminiscence applied sciences for the worldwide semiconductor business, has made vital progress in its selector development with new outcomes confirming its ReRAM selector is appropriate for each embedded and discrete (stand-alone) purposes, significantly growing the variety of attainable purposes for Weebit’s know-how.
Weebit Nano, along with its development accomplice CEA-Leti, have demonstrated the potential of the Weebit ReRAM selector to obtain the excessive densities wanted for discrete chips utilizing customary supplies and instruments. In addition, this similar selector know-how will fit embedded purposes, enabling unprecedented Non-Volatile Memory (NVM) densities for future system-on-chips (SoCs).
The new Weebit ReRAM selector was manufactured in CEA-Leti’s R&D fab, and the silicon wafers have been completely examined for each programming and leakage currents. The outcomes from this inner testing confirmed that the ratio between programming present and leakage present was at business customary, signifying excessive on-state and low leakage present.
In a reminiscence array, the function of a selector is to be sure that solely the particular cells which must be accessed truly are, and all different cells are disconnected and never impacted. Embedded designs at the moment use a transistor because the selector machine, however transistors enhance the cell space of a reminiscence bit and subsequently can’t assist the excessive densities required for discrete chips. In addition, future embedded purposes resembling edge AI and automotive would require far bigger reminiscence arrays and may gain advantage from an optimized selector that permits greater densities.
Developing cost-efficient selectors utilizing solely customary supplies and instruments is a big problem, but it surely has the potential to additional decrease manufacturing value and complexity. While further development remains to be required, this new selector know-how might be simply built-in into any CMOS fab, probably enabling the high-capacity reminiscence arrays wanted whereas preserving measurement and energy to a minimal.
Coby Hanoch, Weebit Nano CEO, commented: “We have worked hard to create a ReRAM selector that can achieve high densities using fab-friendly materials and standard tools, and accomplishing this is a significant development for Weebit. Such a selector will make it easy and cost-effective for any foundry to integrate the technology into existing processes and offer it to their customers.
“In addition, we’re breaking down a barrier by making it possible to use the same selector for both discrete and embedded applications. This is an important step forward on our roadmap for discrete products and is a compelling value proposition for companies developing advanced SoCs for applications like edge AI, which need a reliable, cost-effective replacement for embedded flash.
“Ongoing selector development will be carried out in parallel to rolling out our embedded technology to mass production.”
Approved for launch by the Board of Weebit Nano Limited.
About Weebit Nano Limited
Weebit Nano Ltd. is a number one developer of next-generation semiconductor reminiscence know-how. The firm’s ground-breaking Resistive RAM (ReRAM) addresses the rising want for considerably greater efficiency and decrease energy reminiscence options in a spread of recent digital merchandise resembling Internet of Things (IoT) gadgets, smartphones, robotics, autonomous automobiles, 5G communications and synthetic intelligence.
Weebit’s ReRAM permits semiconductor reminiscence parts to be considerably quicker, inexpensive, extra dependable and extra vitality environment friendly than these utilizing current Flash reminiscence options. As it’s primarily based on fab-friendly supplies, the know-how will be shortly and simply built-in with current flows and processes, with out the necessity for particular tools or giant investments.
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Investors
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Media – Australia
Tristan Everett, Automic Group
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Media – US
Jen Bernier-Santarini, Weebit Nano
P: +1 650-336-4222
E: [email protected]
