The prototype shows how vertically stacked logic and memory could unlock major AI performance gains In sum – what we know: A collaboration between Stanford, Carnegie Mellon, University of Pennsylvania, and …
AI
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GlobalData argues that ocean-based and off-planet data centers could help relieve the growing energy demand driven by AI-scale compute In sum – what to know: Relief for AI-scale energy demand …
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NTT Global Data Centers’ COO Joe Pace told RCR Wireless News that the company was focusing on optimizing its infrastructure to be AI-ready NTT Global Data Centers is reshaping its …
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Microsoft noted that a significant portion of the investment will go toward expanding hyperscale cloud and AI data center capacity In sum – what to know: Microsoft commits US$17.5B to …
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AI infrastructure demands massive amounts of energy — is there anything we can do about it? The race to build more powerful AI models has sparked an energy crisis. While …
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OpenAI signed a MoU with NEXTDC to collaborate on a next-generation hyperscale AI campus and large GPU supercluster In sum – what to know: OpenAI launches its first APAC country …
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According to CEO Matt Garman, AWS is focused on helping organizations “run their largest and most demanding applications” In sum – what to know: Enterprise AI adoption is accelerating – …
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In sum – what to know: Meta explores a major TPU shift – Talks with Google could see Meta rent TPUs in 2026, signaling a meaningful move to diversify beyond …
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Alex Cordovil, research director at Dell’Oro, told RCR Wireless News that there has been a complete overhaul of data center design The data center industry is experiencing one of the …
- Signal and Noise
Turning AI into a cohesive system with data center networking
by
Sean Kinney by
Sean Kinney As the multi-trillion dollar AI infrastructure investment supercycle continues, hyperscalers, neoclouds and other stakeholders are taking an all-of-the-above approach. This means GPUs, TPUs, NPUs and all other manner of rack-scale …