White House AI Roadmap Pushes to Block State Rules | Tech Field Day News Rundown: March 25, 2026
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Running AI in the cloud just got more secure. 🔐
Alastair Cooke explains how RapidFort and Nutanix are creating near-zero vulnerability containers for AI workloads on the Nutanix Kubernetes Platform.
#TFDRundown #Cybersecurity #Kubernetes #AIWorkloads #NutanixKubernetesPlatform
AI is shifting cloud design from compute-led to data-driven, where data gravity anchors workloads, making locality, cost, and latency key constraints in scaling infrastructure.
Read now- www.computeforecast.com/blogs/ai-dat...
#AIDatacenters #CloudInfrastructure #Hyperscale #NeoClouds #AIWorkloads
Danfoss CoolTrain™ shifts liquid cooling to a factory-integrated model, reducing deployment risk, improving efficiency, and enabling faster, more reliable scaling of AI infrastructure.
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#Datacenters #LiquidCooling #PUE #AIWorkloads
New: Accelerate cloud and AI workloads with the Hammerspace Data Platform at #CFD25
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youtu.be/cstuNAzAwOg?...
One discussion from Cloud Field Day 25 is that in a hybrid, multi-cloud world, success still comes down to mastering the fundamentals: moving data, running applications, and placing workloads wisely.
#TFDTakeaways #CFD25 #CloudCompute #DataManagement #AI #AIWorkloads
Stelia and Nokia are advancing enterprise AI by combining governance with high-performance networking, enabling secure, low-latency, distributed AI at production scale.
Read now- www.computeforecast.com/news/stelia-...
#AIEnterprise #Sustainability #GPU #AIWorkloads
Malaysia’s #datacenter boom is accelerating with #AI-driven demand, but water, power, and policy constraints will determine whether this growth becomes #sustainable or structural risk.
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#Hyperscale #AirCooling #GPU #AIWorkloads
#AIworkloads demand serious power—and the right #workstation makes all the difference.
In our latest blog, we break down everything you need to know about #AIworkstations in 2026, from #GPUs and specs to real-world use cases and build strategies. Check it out 👇
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AI is turning variable power demand into constant load, forcing grids to shift from static supply models to continuously managed systems.
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#GridInfrastructure #PowerEfficiency #GridResilience #AIWorkloads
AI is exposing the cost of data movement. Centralized architectures are giving way to distributed models built on proximity and efficiency.
Read now- www.computeforecast.com/blogs/distri...
#DataInfrastructure #NeoClouds #AIWorkloads #GPUClusters #HPC #Sustainability
ZutaCore targets AI heat limits with liquid-cooled PCIe GPUs for NVIDIA Blackwell servers—signaling a shift where cooling defines AI infrastructure scale.
Read now- www.computeforecast.com/news/zuta-co...
#AirCooling #GPU #LiquidCooling #HPC #AIWorkloads
#OpenAI launched #GPT54 #mini and #nano, smaller and faster versions of their flagship GPT-5.4 model. These models are designed for efficient, high-volume #AIworkloads, offering near-flagship performance at a lower cost. They excel in coding, reasoning, multimodal understanding, and tool use,…
🚀 Nvidia’s new BlueField‑4 STX adds context memory, turning smart NICs into AI‑ready storage engines. Think faster data‑center workloads, hardware acceleration & a fresh software platform for cloud partners. Dive in! #BlueField4 #ContextMemory #AIWorkloads
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India’s AI data center push is accelerating the shift to liquid cooling.
Refroid Technologies and Technavious partner to deploy GPU-ready cooling infrastructure.
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#Datacenters #CoolingTechnologies #AIInfrastructure #AIWorkloads #LiquidCooling #GPU
AI workloads are reshaping hyperscale cooling.
Rack densities now reach 30–60kW—and even 100kW+, pushing traditional airflow cooling systems to their limits.
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#Hyperscale #Datacenters #AIWorkloads #AirCooling #RackDensity
AI workloads are exposing the limits of the cloud, demanding a total stack overhaul #Technology #EmergingTechnologies #ArtificialIntelligence #AIWorkloads #CloudComputing #TechOverhaul
siliconangle.com/2026/02/27/without-ai-ob...
UK data centers face rising power costs as AI pushes rack densities higher. Power, resilience & partners now define the next phase of growth.
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#AIFactories #AIWorkloads #SovereignAI #EnergyEfficient #Datacenters #CloudOperators #Sustainability
DCFlex is scaling real-world tests of how data centers can flex load to support grid reliability. As AI demand accelerates, flexibility—not just capacity—is becoming critical infrastructure.
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#Datacenters #EnergyGrid #AIInfrastructure #AIWorkloads
Vertiv is expanding its modular infrastructure strategy with an updated MegaMod HDX platform, targeting the higher densities, tighter #thermal limits, and faster build schedules driven by #AIworkloads.
Read now- www.computeforecast.com/news/vertiv-...
#Datacenters #Hyperscale #DirectToChip
Stephen Foskett and Jeff Reich discuss cloud vs. on-prem AI workloads, with Mirantis highlighting cloud-native AI maturity at AI Infrastructure Field Day 3.
@Stephen.Fosketts.net #TechstrongTV #MirantisIT #AIIFD3 #AIInfrastructure #AIWorkloads #OnPrem
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GreenScale selects Vertiv to supply factory built AI data centre platforms for European expansion
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XING Mobility's new BBx48 #immersioncooled backup system tackles heat, reliability, and efficiency limits marking a major step forward for #powerresilience in high-density #AI #datacenters.
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Optimizing AI Workloads For Edge Computing
Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge. Part 2 of series with 6 experts.
semiengineering.com/optimizing-a...
#edgecomputing #AIworkloads
Germany’s #datacenter boom is moving from pipeline to execution. Arcadis's €8M win across Frankfurt and Berlin shows the market now rewards those who can deliver complex builds, not just secure sites
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#Sustainability #Hyperscale #AIWorkloads
The future of AI hardware hinges on a key debate: training vs. inference. Some argue the training chip market might be a bubble, with inference offering a much larger, more sustainable market. Hardware design must adapt to these shifting workload priorities. #AIWorkloads 5/5
Meta’s eyeing up to a million Google TPUs to power its AI stack—could be the next big NVIDIA challenger. Think Anthropic‑level models on Google Cloud. Curious? Dive in! #MetaTPU #AIWorkloads #GoogleCloud
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Cisco’s warning: aging gear hitting end‑of‑life could expose AI workloads to security gaps. Time to audit firmware, patches & configs before the risk spikes. Find out what’s at stake. #Cisco #EndOfLife #AIWorkloads
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Deloitte reports a sharp rise in AI workloads, prompting major shifts in how enterprises run high-demand compute. The next 12 months could reshape infrastructure as firms balance performance, cost & resilience.
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#AIWorkloads #DataCenters
The AI Workload forces a critical architecture choice 🤔
Traditional cloud costs expose: Rented GPUs sit idle at a premium. Multi-month jobs fail with no refund.
Kelsey Hightower on the solution: Move compute to data on-prem to cut cost.
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#AIWorkloads