As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

It's obvious to most people as soon as they set foot in a place they know well—like their childhood bedroom or a former ...

As AI inference workloads grow and models expand rapidly, Samsung Electronics and SK Hynix are advancing high-bandwidth memory (HBM) technologies while integrating processing-in-memory (PIM) ...

Unlike registers, which reside inside the CPU and operate at CPU speed, memory is external to the processor core. It has slower access times than for registers. Main memory access time is measured in ...

Hello, when calling gemini through GoogleModel on big documents with a lot of pages, I have the memory usage which is diverging. After profiling the memory, I found out that the operation which is ...

At its core, the operation of every computer is governed by process known as the fetch–decode–execute cycle, sometimes simply called the instruction cycle. Regardless of the complexity of modern ...

With the 20th anniversary of Hurricane Katina approaching on Friday, Aug. 29, and tropical weather roving the Atlantic, it’s inevitable that our minds turn to the annual threat to our vulnerable ...

SUNNYVALE, Calif., June 10, 2025 (GLOBE NEWSWIRE) -- AI has a memory problem. Traditional SRAM and DRAM were never designed to meet the scale and intensity of today’s AI workloads – and their ...

LLMs built on Transformer architectures face significant scaling challenges due to their quadratic complexity in sequence length when processing long-context inputs. Methods like Linear Attention ...