Apple’s iOS 27 AI requirements suggest RAM is becoming the new upgrade wall, with 8GB devices still supported but less ready for Apple’s strongest on-device AI features.

When we watch videos or ask AI questions, enormous amounts of data are constantly moving inside computers. In particular, data centers that support AI must process and transfer vast amounts of data at ...

As AI demand soars, global memory shortages are driving costs up and reshaping the tech landscape.

Training AI demands raw GPU compute. Inference demands something else entirely: memory. The GPUs powering today's models carry limited high-bandwidth memory (HBM) before external memory is ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights and activations back and forth between memory banks and processing cores ...

Chairman Chey Tae-won says AI demand will keep memory tight through 2030 and SK Hynix will spend whatever it takes to double ...

Meanwhile, Longsys' mature PCIe Gen4 mSSD lineup has achieved commercial deployment. The products have secured collaborations ...

In the early days of AI, the industry focused on building faster GPUs and scaling training infrastructure. Performance was largely measured by how quickly models could be trained and how much compute ...

AI hardware returns to focus as NVIDIA’s Taipei keynote, Taiwan’s chip supply chain, robotics demand, and physical AI themes ...

This is certainly borne out by the latest forecast put together by the market researchers at Gartner. The company’s latest ...

Technology stocks rebounded unevenly as Nvidia, Microsoft, Salesforce, Micron, Arm and Broadcom showed different AI market ...

Hardware-firmware integration has therefore become a fundamental part of embedded system design. It is not simply a software ...