TetraMem and SK hynix Showcase Successful Technology Collaboration Advancing Memory-Centric AI Computing
The paper shows a memristor-based AI system-on-chip that reduces data movement and has been named a cover feature, the companies said.
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SK hynix presents with TetraMem an experimental chip that tries to reduce the energy consumption of artificial intelligence by making part of the calculations within memory
New chip moves computing closer to memory to save power, boost speed
Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor that performs AI calculations directly inside memory, a design aimed at cutting energy use and reducing the bottlenecks caused by moving data between processors and memory. The two companies announced the completion of a joint technology collaboration centered on an analog in-memory computing (A-IMC) system-on-chip (SoC). Their work dem…
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Business WireSAN JOSE, California, and ICHEON, South Korea--(BUSINESS WIRE)--Jul 8, 2026--
The joint milestone highlights how analog in-memory computing can address the growing energy and thermal challenges of AI, while laying the foundation for deeper collaboration on next-generation memory... The article Summary: TetraMem and SK hynix present successful technology collaboration advancing AI memory-centric computing is an original content of 01net.
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