With hyperscalers consuming large portions of grid capacity, neoclouds in regions such as the Nordics and Germany are increasingly securing new power allocations for AI-focused builds In sum – what …

In a discussion about inferencing it became clear that ‘getting AI out to end users’ at SMBs and enterprises requires rapid distribution of high-end CPUs or low-end GPUs at massive …

As hyperscalers and sovereign cloud providers scale up massive AI clusters, the real point of differentiation is becoming how efficiently those GPUs can communicate, according to Dell’Oro In sum – …

Neoclouds tend to be smaller and more regional compared to hyperscalers, with strong traction in sovereign data center projects Neocloud providers have emerged as one of the most closely watched …

Ooredoo Kuwait, in collaboration with Nvidia, has started equipping its local data center with Nvidia H200 GPU units In sum – what to know: Kuwait’s first AI data center launched …

Joe Capes, CEO of LiquidStack, told RCR Wireless News that he expects single-phase direct-to-chip cooling to dominate the next three to four years As AI workloads push data centers to …

Lisa Su, AMD chair and CEO, said that a recent partnership with OpenAI will significantly accelerate the firm’s data center AI business In sum – what to know: Data center …

The Industrial AI Cloud, powered by up to 10,000 Nvidia GPUs, will allow manufacturers, automakers, and robotics firms to deploy AI-driven digital twins, predictive maintenance, and large-scale simulation workloads In …

The investment from Microsoft includes more than $10 billion in capital expenditure on AI data centers and infrastructure In sum – what to know: $15.2B investment through 2029 – Microsoft …

The KPMG executive noted that some of the models can actually be run in smaller locations, smaller sets of computation resources closer to the client or customers Artificial intelligence (AI) …