CDNS unveils the first LPDDR5X 9600Mbps enterprise memory IP with Microsoft, bringing DDR5-class reliability to low-power ...

VAST Data , the AI Operating System company, today announced a new inference architecture that enables the NVIDIA Inference Context Memory Storage Platform – deployments for the era of long-lived, ...

Nvidia decided to redesign its AI servers around smartphone-style memory chips, which has sparked disruption across the semiconductor industry. Counterpoint research has revealed that the shift could ...

Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

A next-generation storage infrastructure designed to help AI systems handle massive context memory and multi-turn reasoning ...

Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Apple has long been known to have its own ecosystem, which connects and integrates between its different devices. While this remains difficult for some people, a recent report explains why the company ...