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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.

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.

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.

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.

AI demand is tightening HDD and NAND supply—and prices may follow. VAST is betting on flash reclamation and KV-cache persistence as storage starts acting more like memory.

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.

Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.

By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.

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.

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.

AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.

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.

RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.

These data-infrastructure shifts will determine which enterprises scale AI in 2026, from real-time context and agentic guardrails to governance, efficiency, and a more resilient data foundation.

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.

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.

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.

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.

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 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.

As AI training pushes data centers to unprecedented power densities, researchers reveal an affordable solution that lets computing thrive on fluctuating renewable energy.

In Part 1 of Voice of Innovation Matty Bakkeren’s 2026 predictions series, he explores how AI, power, cooling, and supply chains are reshaping data center infrastructure for a utility-scale future.

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.

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.

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.

With AI racks exceeding 100kW, immersion cooling isn’t optional anymore. Midas’s operator-driven design delivers hot-swappable maintenance and thermal recovery economics.

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.

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.

As AI inference, edge, and autonomous systems outpace legacy networks, this playbook shows how to combine fiber, RF, FSO, and satellite to tame digital asymmetry and build resilient AI connectivity.

Inside Equinix and Solidigm’s playbook for turning data centers into adaptive, AI-ready platforms that balance sovereignty, performance, efficiency, and sustainability across hybrid multicloud.

Arm’s OCP board seat and new FCSA spec push chiplet interoperability from idea to implementation—enabling mix-and-match silicon and smarter storage so teams can build AI without hyperscaler budgets.

Physical AI is leaving the lab for the line. Datara AI’s edge-first data-loop playbook—real-time inference, disciplined updates, and human-centered rollout—turns pilots into reliable, scalable uptime.

AI now informs credit, healthcare, and fraud decisions. This piece unpacks US and EU rules, core principles, and how Responsible AI governance can be a competitive edge, not just compliance.

Cloud waste, FinOps, and sustainability goals are reshaping data engineering. Teams that design efficient stacks, track cost and energy, and treat constraints as features will ship more with less.

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.

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.

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.

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.

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.

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.

Xeon 6 marries P-cores, E-cores, and scalable memory to feed data-hungry HPC workloads, eliminating bandwidth bottlenecks so spectral sims and other memory-bound codes can finally scale.

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.

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.

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.

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.

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.

On Day 1 of KubeCon + CloudNativeCon Atlanta, CNCF unveiled Kubernetes AI Conformance to make workloads portable—arriving as inference surges to ~1.33 quadrillion tokens/month across Google’s systems.

FinTech expert Anusha Nerella shares insights on staying ahead of fraud, navigating regulation, and building collaborative teams to scale responsible AI across the financial services sector.

Modern software-defined cars blend multiple links—CAN/LIN, MIPI, SerDes, and Ethernet/TSN—to shrink wiring and cost, manage EMI, and deliver reliable, deterministic timing from sensors to actuators.

Multi-year agreement makes VAST AI OS CoreWeave’s primary data foundation, aligning roadmaps for instant dataset access and performance across training and real-time inference in global AI cloud regions.

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.

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.

At the OCP Global Summit, Avayla CEO Kelley Mullick reveals how rapid standardization and hybrid cooling strategies are reshaping infrastructure for the AI era.

Nat-sec cyber innovator Sean Grimaldi compares the cyber war to the War on Drugs: incentives persist; adversaries adapt. What if we shifted the goal from zero breaches to rapid detection, containment, and recovery?

Under CEO Lisa Spelman, Cornelis turns constraints into a competitive weapon, delivering speed, precision, and a customer-obsessed purpose in the high-stakes AI infrastructure arena.

In this Q&A, TechArena Voice of Innovation Tejas Chopra (Netflix) explores AI reliability, first-principles thinking, and how human creativity shapes technology that truly lasts.

Open models move fast—but production doesn’t forgive surprises. Lynn Comp maps how to pair open-source AI with a solid CPU foundation and orchestration to scale from pilot to platform.

What modern storage really means, how on-prem arrays compare to first-party cloud services, and a clear checklist to pick the right fit for cost, control, scalability, and resilience.

From #OCPSummit25, this Data Insights episode unpacks how RackRenew remanufactures OCP-compliant racks, servers, networking, power, and storage—turning hyperscaler discards into ready-to-deploy capacity.

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.

As part of Flex, JetCool is scaling its microconvective cooling technology to help hyperscalers deploy next-gen systems faster, streamlining cooling deployments from server to rack in the AI era.

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.

Ventiva discusses how hard-won laptop cooling know-how can unlock inside-the-box gains for AI servers and racks—stabilizing hotspots, preserving acoustics, and boosting performance.

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.

At GTC DC, NVIDIA outlined DOE-scale AI systems, debuted NVQLink to couple GPUs and quantum, partnered with Nokia on AI-RAN to 6G, mapped Uber robotaxis for 2027, and highlighted Synopsys’ GPU gains.

Storage architecture becomes the invisible force determining whether AI deployments, now rapidly moving beyond pilot projects, generate profit or burn cash on throttled tokens.

While enterprises pour resources into more GPUs, up to 30% of that computing power sits idle waiting for data. The solution isn't more hardware; it's smarter network architecture.

Design shifted to rack-scale. Power and cooling span the full path. Liquid is table stakes. Three takeaways from OCP 2025—and why CelLink’s PowerPlane fits an AI-factory mindset.

Converging forces, including affordable SSDs, ransomware requiring fast restoration capabilities, and AI workloads needing assured data integrity, are redefining protection strategies at unprecedented scale.

From analytics to AI leadership, TechArena Voice of Innovation Banani Mohapatra (Walmart) shares how experimentation, ethics, and human creativity shape the next era of data-driven innovation.

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.

CXL 2.0 unlocks pooled, tiered, and elastic memory so enterprises add capacity without blowing budgets—feeding AI and data-heavy apps with near-DRAM performance on Xeon 6 platforms.

The AI surge is forcing a fundamental rethink of infrastructure strategy, from unexpected co-location demand to storage breakthroughs that challenge conventional wisdom.

Traditional data protection becomes the bottleneck when GPU idle time costs millions. Joint testing with Solidigm shows how next-generation solutions maintain full speed during drive failures.

From provisioning to observability to protection, HPE’s expanding cloud software suite targets the repatriation wave.

LLMs have given attackers new angles. Fortinet showed, step by step, how AI-driven probes escalate—and how FortiGate, FortiWeb, FortiAnalyzer, and FortiSOAR close the door without slowing the business.

From racks and liquid loops to data placement and standards pace, five takeaways from CoreWeave, Dell, NVIDIA, Solidigm, and VAST Data on building AI factories that keep accelerators busy and dollars well-spent.

At Cloud Field Day 24, Oxide outlines a vertically integrated rack—custom hypervisor, integrated power/network, and open integrations—aimed at bringing hyperscale efficiency and faster deploys to enterprise DCs.

Presenting at Cloud Field Day 24, Pure pitched fleet-level automation across mixed environments as the antidote to storage silos, promising one control plane for legacy systems and modern workloads.

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.

Midas Immersion Cooling CEO Scott Sickmiller joins a Data Insights episode at OCP 2025 to demystify single-phase immersion, natural vs. forced convection, and what it takes to do liquid cooling at AI scale.

Data is now the foundation of every business decision. Learn how companies across industries are turning information into their most valuable asset.

From hyperscale direct-to-chip to micron-level realities: Darren Burgess (Castrol) explains dielectric fluids, additive packs, particle risks, and how OCP standards keep large deployments on track.