As new technology nodes have become available, memory has been one of the most aggressive semiconductor applications to adopt advanced process technology. The relentless demand by users of electronic ...

As noted in a recent blog post, demand for more memory is a common theme for many semiconductor-driven products. Artificial intelligence (AI) and machine learning (ML) algorithms rely on fast, ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...

DDR memory is quickly becoming not only the leading technology but the only technology used in memory design. As such, DDR systems are in high demand in the tech industry. High-speed simulation tools ...

AI places high demands on storage, so choosing the right memory architecture becomes a critical step in the design process. The benefits of on-chip memory. Dealing with the capacity issues of on-chip ...

What are the current challenges involved with incorporating sufficient HBM into multi-die design? How a new interconnect technology can address the performance, size, and power issues that could ...

Large language models have transformed how users interact with AI — from companions and customer service bots to virtual assistants. Yet most of these interactions remain transactional, limited to ...