AI
articles
AMD’s 38x Efficiency Leap Sets Stage for Ambitious 2030 Goal
AMD improved energy efficiency 38x—roughly a 97% drop in energy for the same compute—and now targets 20x rack-scale gains by 2030, reimagining AI training, inference, and data-center design.
Dell Highlights Four Shifts Powering the AI Storage Revolution
Dell outlines how flash-first design, unified namespaces, and validated architectures are reshaping storage into a strategic enabler of enterprise AI success.
5 Fast Facts on Compute Efficiency with Flex’s Chris Butler
Exploring how Flex is rethinking data center power and cooling – from 97.5% efficient power shelves to liquid cooling and “grid to chip” solutions – with Chris Butler, President of Embedded & Critical Power.
Innovation with Empathy: A Q&A with Vivek Venkatesan
Vanguard lead data engineer and IEEE senior member Vivek Venkatesan shares how a pivotal Botswana project shaped his path, how trust turns innovation into impact , and much more.
Mark Grodzinsky on Building Ecosystems That Last
From Wi-Fi to AI, Mark Grodzinsky shares how chance turns, mentors, and market inflection points shaped his career – and why true innovation is about impact, not hype.
Compass & Schneider Launch Prefab Pod for AI Data Centers
The new EcoStruxure™ Pod accelerates data center readiness, reducing complexity, cost, and risk while boosting sustainability and AI workload support.
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.
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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.
How Rose-Hulman Modernized Its Data Center for Student Success
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.
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.
Compute Requirements in the AI Era with Intel’s Lisa Spelman
TechArena host Allyson Klein chats with Intel’s Lisa Spelman about how compute requirements are changing for the AI era, where we are with broad enterprise adoption of AI, and how software, tools and standards are required to help implement solutions at scale.
The Demand for Memory Innovation to Fuel ML with Netflix
TechArena host Allyson Klein interviews Netflix’s Tejas Chopra about how Netflix’s recommendation engines require memory innovation across performance and efficiency in advance of his keynote at MemCon 2024 later this month.
Re-architeting Patient Care with Physia
TechArena host Allyson Klein chats with Physia about their generative AI based patient care platform and how they aim to create a new AI + doctor model to improve patient care and transform the medical industry.
Human Creativity, AI and the Future of Film with Artefacto’s Anna Giralt Gris
TechArena host Allyson Klein chats with Artefacto’s Anna Giralt Gris about her views on the future of film and the impact that AI will make in re-shaping one of humanity’s most creative mediums.
MemryX Delivers AI Performance at the Edge
TechArena host Allyson Klein talks to MemryX VP of Product and Business Development Roger Peene about how his company is transforming AI at the edge with their silicon and how we’re sitting in an AI revolution.
Data Observability in the AI Era with Unravel Data CEO Kunal Argawal
TechArena host Allyson Klein chats with Unravel Data CEO Kunal Argawal about how his organization is tapping AI to disrupt the data observability arena.
