The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...

Artificial intelligence demands are forcing companies to rethink chip design from the ground up. As organizations grapple with the exorbitant costs of high-bandwidth memory required for modern ...

Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story?

IBM is a company that I follow very closely, in particular its System Division, Red Hat and corporate. It has been particularly interesting to watch IBM Systems over the last several years as it has ...

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...

Nvidia Corp. today previewed an upcoming chip, the Rubin CPX, that will power artificial intelligence appliances with 8 exaflops of performance. AI inference involves two main steps. First, an AI ...