AI
articles
GlobalFoundries to Acquire Synopsys ARC Processor IP Business
The deal moves Synopsys’ ARC processor IP and ASIP Designer/Programmer tools to GF’s MIPS business, while Synopsys keeps interface and foundation IP and leans further into AI-era engineering.
The Echo of Wi-Fi: Why the Optics Industry Feels Like Déjà Vu
As AI breaks the networking playbook and data centers hit the power wall, the optics industry enters a chaotic “2003 moment.” Mark Grodzinsky explores why the lessons of Wi-Fi will define the winners of the AI era.
The Nervous System of AI: Why the “Best Effort” Era is Over
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.
2026 Predictions: A Year of Human and Machine Revolution
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.
Intelligence Everywhere: Defining the Era of Edge and Physical AI
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.
How PEAK:AiO Turns Commodity Servers Into AI Rocket Ships
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.
Dryad Networks’ Solar-Powered Gas Sensors Sniff Out Fire
Dryad Networks is scaling its solar-powered gas sensors to detect wildfires early—most recently deploying 50,000+ sensors in Thailand’s forests to enhance fire prevention and environmental protection.
Arm: Scaling AI Compute from Edge to Cloud
At Mobile World Congress 2025, Allyson Klein and Arm CMO Ami Badani discuss how power-efficient compute is fueling the next wave of AI innovation, enabling new use cases across industries.
Cerebras Systems CEO Andrew Feldman on Scaling AI Innovation
In this TechArena Fireside Chat, Cerebras CEO Andrew Feldman explores wafer-scale AI, the challenges of building the industry’s largest chip, and how Cerebras is accelerating AI innovation across industries.
AI Agents - Buzzword or Accelerator?
AI agents are gaining traction, but are they enterprise-ready? This blog explores their adaptability, real-world use cases, and whether they deliver real value—or just add complexity.
DeepSeek: Revolutionizing AI with Intel's Advanced Compute Solutions
DeepSeek is reshaping AI with efficient models, and Intel is ready. Walter Riviera explores how Intel’s AI strategy aligns with this shift, enabling smarter, scalable AI deployment.
Has GenAI Hit the Chasm? Unpacking Microsoft's News
Gen AI is evolving fast, but enterprise adoption is at a crossroads. This blog unpacks shifting demand, cost challenges, and the real-world impact of AI on business and infrastructure.
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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.
