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SK Hynix Unveils Memristor-Based AI Chip With 10x Better Energy Efficiency Than Nvidia A100

AI Industry News

2026-07-13 11:34:29

SK Hynix-15.36%

SKHY-0.98%

SKHYV-0.98%

NVDA4.06%

According to a joint research effort by SK Hynix, TetraMem, and the University of Southern California, the companies unveiled a memristor-based in-memory computing (IMC) SoC chip recently, targeting neural network inference for edge AI devices. The 65-nanometer chip achieved 21.3 TOPS/W (trillion operations per second per watt) at 100MHz and 11.9 TOPS/W at 400MHz, roughly 10 times more energy-efficient than Nvidia A100 in INT8 mode. However, peak absolute compute capacity reached only 2.54 TOPS, limiting immediate applications in mainstream edge AI. Researchers noted the achievement represents a proof-of-concept with potential value for power-sensitive wearables and IoT devices by bypassing data movement bottlenecks.

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