# ai data centers Published articles for ai data centers. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers DevFeed: [Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers]() Original publisher: [Read original article]() Author: Josh Parker Published: 2026-09-16T13:00:33Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [data centers](), [AI Infrastructure](), [Google](), [Nvidia](), [Artificial Intelligence](), [datacenter](), [benchmarking](), [Requirements]() Tags: [ai](), [ai-data-centers](), [ai-infrastructure](), [capacity](), [corporate](), [data-centers](), [energy](), [google](), [infrastructure](), [launch](), [metrics](), [nvidia](), [performance-metrics](), [requirements](), [resource](), [systems]() ### AI overview Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance, a coalition focused on flexible AI data centers that can dynamically adjust electricity use in response to grid conditions. The article describes technology-neutral, performance-based requirements covering response speed, duration, predictability and emergency behavior. ### Source excerpt AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (AEMA), a first-of-its-kind coalition advancing data centers that can dynamically manage their electricity use [...] ## LF Energy Research Finds Open Source Software Can Deliver 2-5x Greater Net Value for Grid Operators DevFeed: [LF Energy Research Finds Open Source Software Can Deliver 2-5x Greater Net Value for Grid Operators]() Original publisher: [Read original article]() Author: andrewb@proximabiz.com (The Linux Foundation) Published: 2026-09-15T07:00:00Z Content type: news Language: en Sources: [Linux Foundation - Blog]() Topics: [Open Source](), [Software](), [cloud-infrastructure](), [digital sovereignty](), [interoperability](), [Simulation]() Tags: [ai-data-centers](), [case-studies](), [compare](), [cost](), [digital-sovereignty](), [framework](), [infrastructure](), [interoperability](), [linux-foundation](), [open-source](), [renewable-energy](), [report](), [research](), [september-2026](), [software](), [summit]() ### AI overview LF Energy reports that open source software can provide grid operators with 2-5 times greater net value than conventional software procurement. Its Open Source Benefit-Cost Framework evaluates total cost of ownership, risk exposure, strategic value, and societal impact using case studies and simulations. ### Source excerpt New benefit-cost framework gives utilities and regulators a standardized methodology to compare open source with conventional software procurement ## Qualcomm and Amazon Sign Multi-Generation Deal for Custom AI Inference Silicon and 1.6T Optical Interconnects DevFeed: [Qualcomm and Amazon Sign Multi-Generation Deal for Custom AI Inference Silicon and 1.6T Optical Interconnects]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-08T17:17:46Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [Inference](), [Inference Performance](), [AI Infrastructure](), [Amazon Web Services](), [data centers](), [Chip design](), [networking](), [Amazon Bedrock](), [amazon]() Tags: [ai](), [ai-data-centers](), [ai-inference](), [ai-infrastructure](), [amazon-bedrock](), [aws](), [chip-design](), [cost](), [data-centers](), [dsp](), [efficiency](), [enterprise](), [networking](), [partnership](), [qualcomm]() ### AI overview Qualcomm Technologies and Amazon are collaborating across multiple generations to develop custom silicon for AWS AI data centers, primarily targeting AI inference. The agreement also covers 1.6T optical connectivity for data center networks and Qualcomm's use of AWS infrastructure, including Amazon Bedrock, for electronic design automation workloads. ### Source excerpt Qualcomm Technologies and Amazon have entered into a multi-generation collaboration to deliver customized silicon at scale for AWS's AI data centers, with AI inference as the primary target. The agreement pairs Qualcomm's power-efficient processing, silicon design, and system-level integration with Amazon's AI infrastructure, and is aimed at the compute, memory bandwidth, networking, and energy constraints The post Qualcomm and Amazon Sign Multi-Generation Deal for Custom AI Inference Silicon and 1.6T Optical Interconnects appeared first on StorageReview.com. ## Startup's nuclear-inspired cooling system could make data centers more sustainable DevFeed: [Startup's nuclear-inspired cooling system could make data centers more sustainable]() Original publisher: [Read original article]() Author: Zach Winn | MIT News Published: 2026-06-10T04:00:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [data centers](), [Artificial Intelligence](), [cloud-infrastructure](), [Computer science]() Tags: [ai](), [ai-data-centers](), [artificial-intelligence](), [computer-science-and-technology](), [cooling](), [data-center-cooling](), [data-center-sustainability](), [data-centers](), [efficiency](), [energy](), [energy-efficiency](), [energy-storage](), [ferveret](), [matteo-bucci](), [nuclear-science-and-engineering](), [power](), [reza-azizian](), [school-of-engineering](), [startups](), [sustainability](), [sustainable-computing](), [technology-and-society](), [water]() ### AI overview Ferveret, a startup founded by two MIT researchers, is adapting nuclear-reactor heat-transfer methods to cool AI data-center servers with a specialized liquid. Its Adaptive Phase Cooling system uses small, frequently detaching bubbles to improve heat transfer without water and with less electricity. ### Source excerpt Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI. ## Introducing physics AI at Mistral: the foundation for engineering acceleration. DevFeed: [Introducing physics AI at Mistral: the foundation for engineering acceleration.]() Original publisher: [Read original article]() Published: 2026-05-27T12:00:55Z Content type: article Language: en Sources: [Mistral AI Blog]() Topics: [Artificial Intelligence](), [AI Models](), [Simulation and Design](), [Finite Element Method (FEM)](), [Frontier AI](), [Hardware](), [Deployment]() Tags: [ai](), [ai-data-centers](), [ai-models](), [deployment](), [engineering](), [hardware](), [physics]() ### AI overview Mistral introduces physics AI as a new class of frontier AI models for engineering. The article explains how these models can accelerate physical-system analysis, expand design-space exploration, preserve physics insight during product operation, and support AI-native industrial engineering across manufacturing, aviation, energy, and hardware development. ### Source excerpt A new class of AI models that predict the behavior of physical systems, powering the engineers and hardware products of tomorrow. ## An Opinionated Critique of AI's Environmental, Social, and Infrastructure Impacts DevFeed: [An Opinionated Critique of AI's Environmental, Social, and Infrastructure Impacts]() Original publisher: [Read original article]() Published: 2026-05-05T15:09:12Z Content type: opinion Language: en Sources: [Bert Hubert's writings]() Topics: [Artificial Intelligence](), [Code](), [large-language-models](), [data centers](), [data]() Tags: [ai](), [ai-data-centers](), [climate](), [co2](), [code](), [data-centers](), [education](), [energy](), [hiring](), [language-models](), [large-language-models](), [water]() ### AI overview This opinion article argues that society is being asked to accept damaging conditions as normal, focusing on climate change, AI data centers' resource use, geopolitical crises, and dependence on US cloud infrastructure. It is especially critical of AI's effects on hiring and education, and of deploying unproven large language model output in production services. ### Source excerpt "Alice laughed. 'There's no use trying,' she said. 'One can't believe impossible things.' I daresay you haven't had much practice,' said the Queen. 'When I was your age, I always did it for half-an-hour a day. Why, sometimes I've believed as many as six impossible things before breakfast." - Through the looking-glass, Lewis Carrol by John Tenniel To stay sane, we have to accept that our climate is going completely haywire, but that it is ok to mostly ignore that since saving ourselves is apparently not cost-effective. ## OpenAI and SoftBank Group partner with SB Energy DevFeed: [OpenAI and SoftBank Group partner with SB Energy]() Original publisher: [Read original article]() Published: 2026-01-09T11:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [stargate](), [datacenter]() Tags: [ai-data-centers](), [apis](), [chatgpt](), [compute](), [data-center](), [global-affairs](), [infrastructure](), [openai](), [partnership](), [stargate]() ### AI overview OpenAI and SoftBank Group are investing $1 billion in SB Energy as part of the Stargate initiative. OpenAI has selected SB Energy to build and operate a 1.2 GW data center site, while SB Energy will use OpenAI APIs and ChatGPT for its employees. ### Source excerpt OpenAI and SoftBank Group partner with SB Energy to develop multi-gigawatt AI data center campuses, including a 1.2 GW Texas facility supporting the Stargate initiative. ## AI in South Korea--OpenAI's Economic Blueprint DevFeed: [AI in South Korea--OpenAI's Economic Blueprint]() Original publisher: [Read original article]() Published: 2025-10-23T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat]() Tags: [ai](), [ai-adoption](), [ai-data-centers](), [company](), [data-governance](), [foundation-models](), [frontier-ai](), [gpu](), [openai](), [partnerships](), [policy](), [samsung](), [stargate]() ### AI overview OpenAI's Economic Blueprint for South Korea proposes scaling trusted AI adoption through sovereign capabilities and strategic collaboration with frontier AI developers. ### Source excerpt OpenAI's Korea Economic Blueprint outlines how South Korea can scale trusted AI through sovereign capabilities and strategic partnerships to drive growth.