AI
articles
AI Didn’t Break Your Data Platform; It Exposed Your Data Debt
Enterprise AI doesn’t create fragility; it reveals undocumented assumptions, missing ownership, and invisible pipeline debt. Fix the foundations and AI gets cheaper, faster, and more trusted.
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.
AI Chip Design Hits Crossroads in Agentic Era
As AI reshapes compute, memory, and networking, chipmakers are racing to rethink design workflows, embrace agentic AI, and overcome the next wave of data, power, and talent constraints.
Mid-Year Report: How AI Is Rewriting the Rules of Cybersecurity
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.
Exploring AI and an Edge Computing Reality Check with OnLogic
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.
Mid-Year Report: AI Demonstrates Double-Edged Impacts in 2025
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.
Synopsys Finalizes $35B Ansys Deal for Design Dominance
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.
Mid-Year Report: AI Spending Soars as Data Centers Face Heat
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.
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Podcasts
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
From OCP 2025: Arm’s Chiplet Push and the AI Ecosystem Play
Allyson Klein and co-host Jeniece Wnorowski sit down with Arm’s Eddie Ramirez to unpack Arm Total Design’s growth, the FCSA chiplet spec contribution to OCP, a new board seat, and how storage fits AI’s surge.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
PEAK:AIO on Smarter Storage for AI—Data Insights @ OCP
From OCP San Jose, PEAK:AIO’s Roger Cummings explains how workload-aware file systems, richer memory tiers, and capturing intelligence at the edge reduce cost and complexity.
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.
