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.
Resilience in the Age of AI: Inside Commvault’s ResOps Pitch
At Commvault SHIFT, “ResOps” and AI resilience were framed as the next operating model for enterprises facing AI-driven threats and cloud sprawl, raising the bar for what “clean” recovery should mean.
Inside the New Product DNA: AI, Causality, Experimentation
AI is turning product development into a living, experiment-led system, where causal inference, data and automation form a feedback loop that learns from releases to build smarter products faster.
Inside SC25: AI Factories From Racks to Qubits
From WEKA’s memory grid and exabyte storage to 800G fabrics, liquid-cooled AI factories, edge clusters, and emerging quantum accelerators, SC25 proved HPC is now about end-to-end AI infrastructure.
15 Questions Every Cybersecurity Leader Should Ask on Day One
Stepping into a new cybersecurity leadership role, the smartest first move isn’t a new tool or policy, but questions. Use these 15 to map risk, culture, and influence before you start changing anything.
Inside KubeCon 2025: How AI Is Rewriting Kubernetes Operations
At KubeCon + CloudNativeCon in Atlanta, Devtron, Komodor, and Dynatrace showed how AI is reshaping Kubernetes ops—from self-healing fleets + spot-friendly migration to AI observability + business ROI.
Cloud-Native 2025 by the Numbers: The Developer Tent Just Got Bigger
CNCF + SlashData’s latest report counts 15.6M cloud-native developers as IDPs pull backend teams into the fold; hybrid + multi-cloud rise with AI demand while inference stacks + agentic frameworks coalesce.
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Podcasts
Valvoline Brings Liquid Cooling Power to AI Data Centers
From racing oils to data center immersion cooling, Valvoline is reimagining thermal management for AI-scale workloads. Learn how they’re driving density, efficiency, and sustainability forward.
Reinventing RAID for AI: Xinnor and Solidigm on Storage’s Future
This Data Insights episode unpacks how Xinnor’s software-defined RAID for NVMe and Solidigm’s QLC SSDs tackle AI infrastructure challenges—reducing rebuild times, improving reliability, and maximizing GPU efficiency.
Cooling the AI Heat: JetCool’s Strategy for Data Centers
Discover how JetCool’s proprietary liquid cooling is solving AI’s toughest heat challenges—keeping data centers efficient as workloads and power densities skyrocket.
WEKA on AI Data Centers: A New Infrastructure Playbook
In this episode, Allyson Klein, Scott Shadley, and Jeneice Wnorowski (Solidigm) talk with Val Bercovici (WEKA) about aligning hardware and software, scaling AI productivity, and building next-gen data centers.
Hybrid AI at Scale: Celestica’s Playbook
From AI Infra Summit, Celestica’s Matt Roman unpacks the shift to hybrid and on-prem AI, why sovereignty/security matter, and how silicon, power, cooling, and racks come together to deliver scalable AI infrastructure.
AI-Driven Chip Design with Synopsys
Allyson Klein talks with Synopsys’ Anand Thiruvengadam on how agentic AI is reshaping chip design to meet extreme performance, time-to-market, and workforce challenges.
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.
