AI
articles
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.
MLPerf Training v5.1: GenAI Drives, Scale Ramps, Field Widens
Two new genAI tests (Llama 3.1 8B, Flux.1) align with production stacks as multi-node results climb. NVIDIA posts many fastest times; University of Florida, Wiwynn, and Datacrunch expand the ecosystem.
Wanjiku Kamau on Her Book: Out of the Loop, Into the Algorithm
Allyson Klein talks with author and Google/Intel alum Wanjiku Kamau on moving past AI skepticism, learning fast, and using new tools with intention—so readers start where they are and explore AI with hope.
Cooling the Future: Where Does Cold Plate End and Immersion Begin?
AI racks are blowing past air’s limits. Here’s a frank framework for when cold plate still wins, when it fails, and how to plan the pivot to immersion—without stranding today’s investments.
The AI Divide in 2026: Economic Wildfire and an Information Elite
As up to 10 million jobs disappear and quality content moves behind paywalls, the question isn’t if AI will reshape society. It’s whether 2026 is the year we’ll control the burn or watch it spread.
Castrol Offers a Fluid Fix for AI’s Overheating Data Centers
New liquid cooling solutions have created a critical new system for data centers, and the company's “magic dust” additive packages are proving essential to keep AI running.
From Intel To Machani Robotics: Niv Sundaram On Human-First AI
Intel veteran and Machani Robotics CSO/CTO Niv Sundaram, one of TechArena’s newest voices of innovation, talks emotionally intelligent AI, companion humanoids, and why real innovation starts and ends with human wellbeing.
From Operators to Innovators: Inside Midas Immersion Cooling
With AI racks exceeding 100kW, immersion cooling isn’t optional anymore. Midas’s operator-driven design delivers hot-swappable maintenance and thermal recovery economics.
AI, the Silent Partner Mitigating Clinician Burnout
Healthcare teams are drowning in admin work and decision fatigue. This piece explores how AI can quietly automate workflows, ease cognitive load, and give clinicians time back for patient care.
Valvoline Global Operations Engineers Data Center Liquid Cooling
As hyperscalers grapple with unprecedented chip density, the 159-year-old company known for high performance lubricants is engineering fluids that enable immersion cooling at scale.
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Podcasts
AI in Finance: Governance, Compliance, and Innovation
Anusha Nerella joins hosts Allyson Klein and Jeniece Wnorowski to explore responsible AI in financial services, emphasizing compliance, collaboration, and ROI-driven adoption strategies.
Cerebras Scales Real-Time AI with Wafer-Scale Innovation
At AI Infra Summit, CTO Sean Lie shares how Cerebras is delivering instant inference, scaling cloud and on-prem systems, and pushing reasoning models into the open-source community.
AI, Flash, and Data Protection: Scality’s Vision with Paul Speciale
Scality CMO Paul Speciale joins Data Insights to discuss the future of storage—AI-driven resilience, the rise of all-flash deployments, and why object storage is becoming central to enterprise strategy.
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.
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.
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.
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.
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.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
