What we provide

logic-eflash

Logic-EFLASH™️

Standard Logic Compatible Embedded Flash Memory IP
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smu-e-diagram

SMU-E™️

Real-time on-device TinyML acceleration solution
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smu-n-diagram

SMU-N™️

Real-time on-device generative AI acceleration solution
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Why ANAFLASH?

brain processing

Data-centric architecture

We significantly enhance processor efficiency by 'neuromorphic architecture', reducing data movement from the place where data is stored, effectively mimicking the brain architecture.

on-device AI

On-device AI processing

Pre-trained AI models are stored and executed directly on your device, enabling seamless and efficient computation without relying on external data transfer.

teamwork

Comprehensive expertise

The team boasts diverse experience in memory, processor, and consumer and enterprise data center product, providing a complete hardware/software solutions to run your AI model from your devices.

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Company news

Toward Robust and Secure AI
March 26, 2024
Toward Robust and Secure AI

As a founding member of the 4-bits/cell NAND flash memory controller team at Samsung Electronics, I delved into the challenges of flash memory reliability—a pivotal research topic.

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Featured in ISSCC 2024
March 13, 2024
Featured in ISSCC 2024

A Flash-SRAM-ADC-Fused Plastic Computing-in-Memory Macro for Learning in Neural Networks in a Standard 14nm FinFET Process

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Sponsoring TinyML Summit 2024
February 14, 2024
Sponsoring TinyML Summit 2024

ANAFLASH is sponsoring the upcoming TinyML Summit. We welcome AI suppliers, end-users, developers, and business leaders interested in on-device AI.

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Empowering your real-time edge intelligence
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