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WHTop → 📋 News → Study: Data Center Power and Cooling Systems Carry Cyber Risk
Study: Data Center Power and Cooling Systems Carry Cyber Risk
📅 - Nearly one in five physical control assets inside major data centers sits just one network step from a system making outbound internet connections, according to research by Claroty. The exposure could give attackers a route toward power, cooling, building management, and monitoring equipment whose disruption may take computing capacity offline even when servers themselves remain otherwise uncompromised.
The finding shifts attention away from servers and network appliances toward equipment that most security programs still treat as facilities technology. Power distribution units, cooling controls, building management platforms, generators, environmental sensors, and data center [...][... Check source for end of article ...]
📅 - Arm Posts Record Quarter as AI Infrastructure Drives New Growth - Arm delivered another quarter of record revenue as AI infrastructure spending continued reshaping the semiconductor market, with licensing, royalties, and data center demand driving growth. The chip architecture company also reported accelerating interest in its AGI CPU initiative, signaling confidence that hyperscale computing increasingly favors Arm-based designs over traditional processor ecosystems across global markets.
For years, Arm's business revolved around collecting royalties from billions of smartphones and embedded devices while licensing processor designs to chipmakers. That revenue engine still matters. Increasingly, though, the company is being judged on something else [...]
📅 - DataBahn Raises $40M For Enterprise AI Data Orchestration - DataBahn has secured $40 million in new financing as enterprise software vendors race to solve a problem becoming increasingly expensive: delivering trusted data to AI systems without multiplying storage, networking, and processing costs. The Series B round, led by Insight Partners, arrives as organizations reconsider whether traditional data pipelines remain economically viable for large-scale artificial intelligence deployments today.
The funding lands during a period when enterprise AI spending is shifting beneath the surface. Buying models is no longer the primary concern for many organizations. Feeding those models with reliable, governed, business-specific information has become the [...]
📅 - Software Layer Targets AI Power Costs On Existing GPU Hardware - Artificial intelligence infrastructure operators are chasing incremental efficiency gains as GPU shortages, power constraints, and cooling costs increasingly limit expansion. Trust Carbon Infrastructure now claims independently signed measurements showing its HXS software layer reduced energy consumption while increasing inference capacity on NVIDIA H100 hardware without altering model outputs, a combination that, if widely replicated, would attract immediate enterprise attention and scrutiny.
For companies running large inference fleets, the economics increasingly revolve around utilization rather than simply acquiring additional accelerators. That changes the conversation around [...]