Microsoft has uncovered an ongoing cryptojacking campaign that used SEO poisoning and, in some observed cases, AI chatbot-generated software recommendations to lure users into downloading GPU mining malware disguised as popular…
…However, AI hyperscalers prefer to locate their campuses near existing infrastructure so they don’t have to spend massive amounts of time and resources building everything from scratch. A few data centers…
…While 50 MW is definitely a lot of power, it's not anywhere in the same ballpark as that required by the vast majority of AI datacenters. This could mean the Nashville…
…of the battle, which has become clear as AMD continues to push its way into AI infrastructure. Tom’s Hardware asked Zdravkovic about the so-called ‘CUDA moat’ that Nvidia has built…
…While the valuations of core companies are typically associated with consumer hardware, today, Nvidia, AMD, and even Intel’s profits are skyrocketing on the back of a ceaseless march to build infrastructure…
…The increases have been driven by the memory and chip shortages stemming from the AI infrastructure build-out, but Sweeney wasted no time criticizing Valve on X for the much higher price…
…And if usage drops because of rising costs, the AI companies are never going to find the short-term profit they need to offset the enormous infrastructure spending they're still trying…
…The PCIe 6.0 switch with 320 lanes can be used to build large multi-GPU scale-up clusters, large shared KV-cache memory pools, and disaggregate data center infrastructure using custom…
…Meanwhile, the four largest hyperscalers are on course to spend more than $650 billion on AI infrastructure this year. Whether compute ultimately puts a lid on any out-of-control, self-improving…
…Enterprise GPU and CPU Roadmap AI accelerator Roadmap Desktop GPU Roadmap 3D NAND Roadmap Confidential computing exists to address a fundamental trust problem in cloud infrastructure: tenants often have no way to…