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AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
NEO Semiconductor's revolutionary 3D X-DRAM for AI proces...
Etiido Uko · 2026-04-24 · via Hacker News - Newest: "AI"
NEO Semiconductor 3D X-DRAM
NEO Semiconductor 3D X-DRAM (Image credit: NEO Semiconductor)

NEO Semiconductor announced on April 23rd that its 3D X-DRAM technology has successfully passed proof-of-concept (POC) validation, demonstrating that a new class of high-density DRAM can be manufactured using existing 3D NAND infrastructure. The company simultaneously announced a new strategic investment led by Stan Shih, founder and former Chairman and CEO of Acer, and a board director of TSMC for over two decades.

At the center of the announcement is the company’s 3D X-DRAM technology, a new class of DRAM that aims to break past conventional memory scaling limits by adopting a vertically stacked architecture designed for higher density, lower power consumption, and improved suitability for AI-driven workloads.

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The proof-of-concept chips, fabricated and tested at Taiwan's National Institutes of Applied Research - Taiwan Semiconductor Research Institute (NIAR-TSRI) in collaboration with National Yang Ming Chiao Tung University, delivered the following results:

Read/write latency: under 10 nanoseconds
Data retention: over 1 second at 85°C/185°F (claimed 15× improvement over JEDEC standard)
Bit-line disturbance: over 1 second at 85°C (185°F)
Word-line disturbance: over 1 second at 85°C
Endurance: greater than 10¹⁴ cycles

Industry commentary included in the announcement was quite positive — although this does not imply confirmation of viability at scale. TechInsights’ Jeongdong Choe described the results as a “significant milestone” in the shift toward 3D memory architectures, noting that conventional DRAM scaling is approaching physical limits and that the industry is increasingly exploring vertical alternatives.

Chips

(Image credit: Shutterstock)

The broader context behind this development is the growing strain AI workloads are placing on memory systems. While GPU compute performance has scaled aggressively over the past decade, memory bandwidth — the rate at which data can be fed to those processors — has become a limiting factor in large-scale AI training and inference systems. This has already driven widespread adoption of high-bandwidth memory (HBM), a vertically stacked DRAM architecture integrated close to GPUs. However, HBM presents complex 3D stacking and bonding requirements and high manufacturing costs.

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Quick clarification sidebar: 3D X-DRAM and HBM both use vertical stacking concepts, but they stack different things in different ways. HBM stacks multiple finished DRAM dies on top of each other, then connects them with through-silicon vias (TSVs) and places them beside/near a GPU or CPU on an interposer. 3D X-DRAM, based on NEO’s claims. aims to build memory cells in a 3D NAND-like monolithic vertical structure, where layers are fabricated as part of the memory array itself rather than stacking separate packaged DRAM dies.

3D X-DRAM is just one of several technologies under development to address the AI memory problem. Just a day before NEO Semiconductor’s announcement, we reported that SAIMEMORY and its ZAM architecture, backed by SoftBank and Intel with Japanese government support, is pursuing a similar goal on a parallel track.

NEO Semiconductor’s device successfully passed extensive electrical and reliability evaluations, confirming the robustness and stability of the proposed memory architecture. It is important to reiterate that this is a proof of concept, not a production-ready memory chip. The road from validated POC to commercial volume is long — and littered with the remains of promising memory technologies that never made it out of the lab. However, with NEO Semiconductor's usage of established 3D NAND processes, the future is bright.

"The successful proof-of-concept not only demonstrates the potential of innovative memory architectures, but also confirms the feasibility of implementing advanced memory technologies using mature processes. This collaboration among NEO, NYCU IAIS, and NIAR-TSRI further underscores the value of industry–academia partnerships in accelerating innovation from concept to practical implementation," said Jack Sun, Senior Vice President of NYCU and Dean of IAIS, and former CTO of TSMC

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Etiido Uko is an engineer and technical writer with over nine years of experience in documentation and reporting. He is deeply passionate about all things gadgets, technology, and engineering.