AI
articles
3 AI Cyber Revolutions That Will Reshape 2026
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.
Inside the AI Risk Land Grab: Outages, Fear and M&A
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.
2026 Predictions: The Year Humanoid Robotics Gets Real
Robots aren’t going to fold your laundry by February. But Voice of Innovation Niv Sundaram predicts that an urgent caregiver shortage will move humanoids “from warehouses to living rooms” in 2026.
Giga Computing: Rack-Scale, Regional, and Ready for Inference
From circularity to U.S. assembly, Giga Computing lays out a rack-scale roadmap tuned for the next phase of AI—where inference drives scale and regional supply chains become a competitive edge.
8 Ways Power, Policy, & Public Trust will Reshape Data Centers
In Part 2 of Matty Bakkeren’s 2026 predictions series, he explores how regulation, sovereignty, and public trust will push data centers to behave more like utilities than tech projects.
Marvell Inks $5.5B Celestial AI Deal to Break Memory Wall
Marvell is inking a deal for optical interconnect startup Celestial AI in a massive bet that the industry has shifted from being compute-constrained to bandwidth-constrained.
“Mind the Gap” – The Man in the Middleware
Intel’s Lynn Comp looks past the hype to explore AI’s real business impact, questioning its future potential: will AI drive ROI, or is it merely middleware destined to be absorbed into the stack?
DeepSeek: AI Disruptor or Geo-Political Salvo?
China’s new open-source generative AI, DeepSeek, claims efficiency breakthroughs that challenge U.S. AI dominance, raising questions about innovation, transparency, and geopolitical stakes.
3 Key Takeaways from Chiplet Summit 2025
Global tech leaders reveal how chiplet-based architectures, advanced packaging, and industry collaboration are reshaping AI scaling, semiconductor design, and the future of computing.
Phishing: The Golden Ticket to Bypassing Security
In Part 2 of his phishing series, Cyber Innovator Sean Grimaldi explores how phishing is growing in sophistication and why these scams remain effective in preying on individuals and organizations.
What’s in a Name – Why AI Terms Matter
In her latest blog, Gina Rosenthal explores how AI is driving economics, politics, and computing, while demystifying key concepts to help navigate AI’s growing impact on society and technology.
Transforming Data Centers to Meet the AI Imperative
In this Great Debate, three industry leaders delve into enterprise adoption of AI in 2025, and the compute infrastructure needed to support its scale-out.
.svg)
Podcasts
How Hedgehog Brings Hyperscaler Networking to Enterprise AI
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Nebius at SC25: Building the Neocloud for Enterprise AI
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.
Inside Runpod’s GPU Cloud for Long-Running AI Agents
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.
Walmart and Cornelis Expose the Costs of Network Inefficiency
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.
Giga Computing on Rack-Scale AI: From Training to Inference
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.
Data Insights at OCP: DataraAI on Edge Robotics
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.
How Hedgehog Brings Hyperscaler Networking to Enterprise AI
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Nebius at SC25: Building the Neocloud for Enterprise AI
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.
Inside Runpod’s GPU Cloud for Long-Running AI Agents
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.
Walmart and Cornelis Expose the Costs of Network Inefficiency
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.
Giga Computing on Rack-Scale AI: From Training to Inference
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.
Data Insights at OCP: DataraAI on Edge Robotics
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.
