Saimemory and SkyeChip Partner on AI Memory Technology
The companies are collaborating to develop ZAM technology designed for high-capacity and high-bandwidth AI data center processing.
Updated on Oct. 21, 2026 in Semiconductors
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Saimemory Corp. and SkyeChip Bhd have entered a design and engineering engagement to develop Z-Angle Memory, or ZAM. The technology aims to support the training and inference of large-scale artificial intelligence models.
Why it matters
The partnership seeks to improve data processing capabilities while reducing overall power consumption in data centers. This development aims to address the growing compute requirements of modern AI systems.
ZAM memory is engineered to provide high-capacity and high-bandwidth processing specifically for AI data center workflows. The architecture is intended to optimize power efficiency during the training and inference of large models.
The players
Saimemory Corp.
This Tokyo-based company is a subsidiary of SoftBank Corp. that focuses on memory technology development.
SkyeChip Bhd
Based in Malaysia and listed on Bursa Malaysia, this entity specializes in silicon IP and high-performance silicon products.
The details
SkyeChip Bhd will provide custom IP solutions and technical engineering support for the ZAM program. The effort leverages SkyeChip's specialized expertise in silicon design to integrate the memory technology developed by Tokyo-based Saimemory Corp.
Timeline
October 21, 2026: Announcement of the Saimemory and SkyeChip collaboration.
The Tech Race
The push for ZAM technology represents a strategic attempt to gain an edge in the competitive landscape of AI-focused memory components. This engagement positions the companies to challenge existing high-performance memory architectures currently fueling global data center expansions.
As data centers integrate more efficient memory technologies like ZAM, users may experience improved speeds for AI-driven services and applications. This partnership signifies a step toward more sustainable and capable infrastructure supporting future digital tools.
The takeaway
Developing specialized AI memory is becoming a critical priority for firms looking to optimize power and speed in complex data environments. Industry participants should monitor how ZAM architecture scales as it moves toward potential commercialization.
Further reading
For more on the current industry landscape, visit the Semiconductors section.
Source note: This article includes information reported by Digital News Asia.
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