Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
With AI giants devouring the market for memory chips, it's clear PC prices will skyrocket. If you're in the market for a new ...
Designed to take on high-bandwidth memory in data centers, Z-Angle memory (ZAM) leverages diagonal interconnects for improved thermal conductivity.
Song made the comments during his keynote address at the Semicon Korea 2026 tech show in Seoul on Wednesday. The South Korean ...
As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...
Azul, the only company 100% focused on Java, today announced the results of its 2026 State of Java Survey & Report. The annual study, based on responses from more than 2,000 Java professionals ...
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
Abstract: This article surveys the recent development of semiconductor memory technologies spanning from the mainstream static random-access memory, dynamic random-access memory, and flash memory ...
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