Imec reimagines CCD technology as high-density AI memory

2026-05-15 · Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Cloud Computing & IT Infrastructure · Depth: Expert, quick

Summary

Imec, a Belgian semiconductor research hub, has introduced a novel NAND-DRAM hybrid memory architecture, marking the first three-dimensional (3D) implementation of charge-coupled device (CCD) technology for memory applications. This innovation aims to mitigate the "memory wall" in AI computing, where GPUs and accelerators are bottlenecked by insufficient memory bandwidth and power efficiency. The architecture combines DRAM's speed and rewritability with NAND's density and efficiency, repurposing CCD technology previously used in imaging. Its 3D design allows vertical stacking of memory cells, reducing manufacturing costs and leakage compared to conventional DRAM, and utilizes Indium Gallium Zinc Oxide (IGZO) instead of silicon for better data retention. The prototype demonstrates charge transfer speeds over 4 MHz and is designed for block-level data access, optimizing it for AI workloads.

Key takeaway

For AI Scientists designing next-generation AI infrastructure, imec's 3D CCD memory architecture offers a promising path to overcome current memory bottlenecks. You should evaluate this hybrid approach for its potential to deliver improved endurance, reduced wear, and enhanced cost-effectiveness in AI training and inference. Consider its future integration as a CXL Type-3 device to facilitate more efficient connections between CPUs, GPUs, and accelerators, especially as AI models continue to scale.

Key insights

Imec's 3D CCD memory architecture merges DRAM and NAND benefits to address AI's memory wall.

Principles

• Vertical stacking reduces memory cost and leakage.
• IGZO improves data retention over silicon.
• Block-level access suits modern AI workloads.

Method

The 3D CCD architecture vertically stacks memory cells using IGZO, enabling block-level data access and high-density integration within a 3D NAND Flash string.

In practice

• Integrate as CXL Type-3 device.
• Optimize AI training/inference tasks.
• Reduce DRAM costs in AI infrastructure.

Topics

• CCD Technology
• AI Memory
• 3D Memory Architecture
• NAND-DRAM Hybrid
• IGZO

Best for: AI Scientist, AI Hardware Engineer, AI Architect, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.