Trump’s deal to supply AI chips to the UAE and Saudi Arabia signals a strategic U.S. shift — boosting allies' AI ambitions while raising questions about export policy, energy, and control of truth.
This special report explores the infrastructure innovations required to support AI-scale data centers, highlighting the escalating demands of generative AI on power, cooling, and rack architecture.
Peak:AIO’s strategies for maximizing node efficiency and intelligent storage solutions offer scalable, cost-effective AI infrastructure, driving innovation from data collection to inference.
Chip design just got smarter. Synopsys partnered with Microsoft and NVIDIA to reimagine semiconductor workflows, pushing the boundaries of AI infrastructure and next-gen compute.
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
Allyson Klein predicts inference spreading from cloud to edge, agentic oversight reshaping ops, privacy battles intensifying, scientific computing facing brain drain, and quantum finally breaking through.
RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.
By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
Modern software-defined cars blend multiple links—CAN/LIN, MIPI, SerDes, and Ethernet/TSN—to shrink wiring and cost, manage EMI, and deliver reliable, deterministic timing from sensors to actuators.
As AI inference, edge, and autonomous systems outpace legacy networks, this playbook shows how to combine fiber, RF, FSO, and satellite to tame digital asymmetry and build resilient AI connectivity.
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Cornelis CEO Lisa Spelman joins Allyson Klein to explore how focus, agility, and culture can turn resource constraints into a strategic edge in the fast-moving AI infrastructure market.
As GPU racks hit 150kW, throughput per watt has become the efficiency metric that matters, and SSDs are proving their worth over legacy infrastructure with 77% power savings and 90% less rack space.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Two decades of action and bold milestones show why Schneider Electric is recognized as the world’s most sustainable company, driving impact across climate, resources, and digital innovation.