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 ...

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

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 ...

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

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 ...

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

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

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