Deterministic wireless is becoming the nervous system of AI. As robots and XR scale, “best effort” turns into business risk—and networks must deliver predictable, identity-driven, secure performance.
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.
Deploying the future: At CES 2026, the Arm ecosystem is delivering AI from the cloud to the front lines—powering mobility, robotics, and personal computing with fast, efficient, on-device intelligence.
By delivering AI performance with one-sixth the hardware footprint, PEAK:AiO is redefining software-defined storage to make scalable AI infrastructure more affordable, efficient, and open.
AI-driven offense, autonomous defense, and new insider threats are converging fast. These three cyber revolutions show how machine intelligence will reshape enterprise security strategies in 2026.
In 2025, the internet’s fragility and AI’s complexity collided in public. The big vendors responded by buying the pieces they need to sell the integrated story that they have AI risk under control.
From Chinese hackers hiding in US power grids for 300 days to AI agents that fight back autonomously, security expert Sean Grimaldi reveals which 2025 predictions hit, and what’s coming next.
OnLogic's Hunter Golden reveals how enterprises can deploy effective AI at the edge with right-sized hardware, lower costs, and even better performance than cloud alternatives.
Gina Rosenthal discusses how AI is transforming everything from cybercrime and fraud detection to government operations this year, revealing both breakthrough innovations and costly failures.
The merger creates a “silicon to systems” engineering powerhouse, unifying chip design and simulation to tackle AI complexity and reshape the future of smart product development.
Matty Bakkeren checks in on how data center trends are playing out in 2025, from nations pouring billions into AI supremacy projects to how data centers are trying to offset massive energy needs.
At the crossroads of Synopsys and Microsoft innovation , agentic AI is no longer a future vision – it’s a catalyst for technical acceleration and a redefinition of engineering roles.
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.
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
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.
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
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.
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
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.
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.