As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

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, but how fast it can feed itself data. The long-feared “memory wall” is now ...

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 ...

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 ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Micron Technology is poised for explosive growth, driven by surging AI demand and its dominant position in high-bandwidth memory for leading GPUs. MU's HBM products are sold out through 2025, with ...