Quick Read AI inference, reasoning, and larger context windows are driving an unprecedented surge in demand for both ...

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

Memory limitations have blindsided many cloud users. It’s crucial for enterprises to expand their focus beyond GPUs and for providers to fix memory problems to keep AI performance on track. Most of us ...

Rambus is rated a Buy, driven by its pivotal role in alleviating AI memory bottlenecks and robust product sales growth. Learn ...

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 ...

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 ...

U.S. lawmakers called for memory to be added to chip controls, days after a bill was passed to further limit Chinese access ...

A new technical paper titled “Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling” was published by researchers at Uppsala University. “Energy consumption ...

Weaver—the First Product in Credo’s OmniConnect Family—Overcomes Memory Bottlenecks in AI Inference Workloads to Boost Memory Density and Throughput SAN JOSE, Calif.--(BUSINESS WIRE)-- Credo ...

(Jan 13): SK Hynix Inc plans to spend 19 trillion won (US$12.9 billion, or $16.58 billion) building a new advanced chip ...

This is the first of a three-part series on HBM4 and gives an overview of the HBM standard. Part 2 will provide insights on HBM implementation challenges, and part 3 will introduce the concept of a ...