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 ...

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 ...

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 ...

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

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, ...

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 ...

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 ...

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 ...

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 ...