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.
Arm’s AI Infrastructure Advantage: Efficiency Meets Innovation
AWS now ships 50% Arm-based compute, and other major cloud providers are following, as efficiency in the gigawatt era and software optimization drive a shift in data center architecture.
Cerebras Soars with $1.1 B of Pre-IPO Investment
Backed by top U.S. investors, Cerebras gains $1.1B pre-IPO funding, boosting its AI vision, market traction, and challenge to NVIDIA with silicon-to-services expansion.
AI-Generated Code: Unlocking Speed – with Guardrails
TechArena Voice of Innovation Tannu Jiwnani explains how to blend GenAI-assisted coding with continuous threat modeling, automated validation, and expert review to accelerate work without compromise.
AI Infra Summit 2025: Agents, Utilization, and Innovation
From cloud to edge, agentic workflows are moving from pilots to production—reshaping compute, storage, and networks while spotlighting CPU control planes, GPU utilization, and congestion-free fabrics.
Inside Yotta’s Innovate Arena: Standout Breakthroughs for AI
From manure-to-energy RNG to an aluminum-air system that generates electricity on demand, innovators tackled real AI bottlenecks—power-chain integration, rapid fiber turn-ups, AI-driven permitting, and plug-and-play capacity that speeds time-to-value.
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.
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Podcasts
MLCommons: Setting the Standard for AI Performance
From storage to automotive, MLPerf is evolving with industry needs. Hear David Kanter explain how community-driven benchmarking is enabling reliable and scalable AI deployment.
Solidigm on Building Future-Ready AI Storage
Solidigm’s Ace Stryker joins Allyson Klein and Jeniece Wnorowski on Data Insights to explore how partnerships and innovation are reshaping storage for the AI era.
Iceotope’s Sustainable Cooling Vision for the AI Era
With sustainability at the core, Iceotope is pioneering liquid cooling solutions that reduce environmental impact while meeting the demands of AI workloads at scale.
AI Infra 2025: David Glick on Building Walmart’s Future with AI
In this episode of In the Arena, David Glick, SVP at Walmart, shares how one of the world’s largest enterprises is fostering rapid AI innovation and empowering engineers to transform retail.
Rafay’s Haseeb Budhani on Building the Future of AI Infrastructure
Haseeb Budhani, Co-Founder of Rafay, shares how his team is helping enterprises scale AI infrastructure across the globe, and why he believes we’re still in the early innings of adoption.
From AI Infra: AI Strategy, Security, & Human Impact with Daniel Wu
Direct from AI Infra 2025, AI Expert & Author Daniel Wu shares how organizations build trustworthy systems—bridging academia and industry with governance and security for lasting impact.
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.
