AI
articles
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.
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.
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Podcasts
AI, Data Centers, and Bare Metal Cloud: Insights from PhoenixNAP
During our latest Data Insights podcast, sponsored by Solidigm, Ian McClarty of PhoenixNAP shares how AI is shaping data centers, discusses the rise of Bare Metal Cloud solutions, and more.
AI Connectivity & Chiplet Innovation at Alphawave Semi Unveiled
Letizia Giuliano of Alphawave Semi discusses advancements in AI connectivity, chiplet designs, and the path toward open standards at the AI Hardware Summit with host Allyson Klein.
Exploring Cerebras' AI Innovations: Inference, Llama, and Efficiency
Sean Lie of Cerebras Systems shares insights on cutting-edge AI hardware, including their game-changing wafer-scale chips, Llama model performance, and innovations in inference and efficiency.
Optimizing AI Scale-Out: Cornelis Networks’ Vision with Lisa Spelman
Lisa Spelman, CEO of Cornelis Networks, discusses the future of AI scale-out, Omni-Path architecture, and how their innovative solutions drive performance, scalability, and interoperability in data centers.
AI on Your Desk with Uptime Industries’ Lemony
Join Sascha Buehrle of Uptime Industries as he reveals how Lemony AI offers scalable, secure, on-premise solutions, speeding adoption of genAI.
Ayar Labs' Mark Wade on Optical I/O Boosting AI Performance
Mark Wade, CEO of Ayar Labs, explains how optical I/O technology is enhancing AI infrastructure, improving data movement, reducing bottlenecks, and driving efficiency in large-scale AI systems.
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.
