The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...
Nvidia CEO Jensen Huang recently declared that artificial intelligence (AI) is in its third wave, moving from perception and generation to reasoning. With the rise of agentic AI, now powered by ...
Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
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