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 ...

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 ...

ASRock Industrial introduces new online tool to help organisations select appropriate hardware for AI deployments.

Apple’s Mac Studio memory limits may narrow its AI workstation pitch as buyers weigh 96GB configurations against local AI, privacy, and serving needs.

If you're struggling to justify new PC parts at current pricing, the top brass at SK hynix has some news for you, though you might want to take it with a healthy dose of salt. Speaking to reporters in ...

With DRAM and HBM memory makers running at full capacity and unable to boost capacity much, the one thing that will start slowing down is the constant upward revisions in AI spending and therefore ...

Nvidia plans to introduce an architecture in its upcoming Vera Rubin platform that lets GPUs issue storage commands without going through the CPU at all — a shift that a prominent semiconductor ...

India's AI ambitions must extend beyond adoption to innovation, semiconductors, and compute infrastructure, Prabhu Ram said ...