Artificial intelligence has raced ahead so quickly that the bottleneck is no longer how many operations a chip can perform, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

In 1994, University of Virginia computer science professor emeritus William Wulf and his then-graduate student, Sally McKee, identified what would become a defining challenge in the field of computer ...

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 ...

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 ...