The term “memory wall” was first coined in the 1990s to describe memory bandwidth bottlenecks that were holding back CPU performance. The semiconductor industry helped address this memory wall through ...

While the improvements in processor performance to enable the incredible compute requirements of applications like Chat-GPT get all the headlines, a not-so-new phenomenon known as the memory wall ...

Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...

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 ...

Micron, SK Hynix and Samsung Electronics — make up nearly the entire RAM market, and they're benefitting from this shortage.

Today is the ribbon-cutting ceremony for the “Venado” supercomputer, which was hinted at back in April 2021 when Nvidia announced its plans for its first datacenter-class Arm server CPU and which was ...

The bottleneck in AI and other memory-intensive applications whereby the transfer of data to and from memory is the slowest operation. For example, CPU register and cache cycle times are less than one ...

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 ...

Judged by the presence of artificial intelligence (AI) and machine learning (ML) technologies at 2023 Design Automation Conference (DAC), the premiere event for semiconductor designers, computing ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...