AI
articles
Hyperscalers Weigh In on Immersion Cooling’s Future
As AI drives power demands sky-high, hyperscale leaders share opportunities, obstacles, and the urgent path forward for immersion cooling adoption.
MLPerf Automotive v0.5: A New Benchmark for AI in Vehicles
MLCommons launches MLPerf Automotive v0.5, the first standardized benchmark suite to measure real-world AI performance in safety-critical automotive applications.
Optum’s AI Health Care Vision: Privacy-First Innovation
From predicting sepsis before symptoms appear to enabling rural clinics to make specialist-level diagnoses, a privacy-first approach to AI in health care promises to transform lives.
HPE Discover: SSDs Are Rewriting Enterprise Storage
Surveying 250 IT pros, we found 29% already run SSDs beyond performance tiers, 81% would migrate when TCO wins, and storage innovation is a top lever to free power and space across the data center.
Dell’s AI Data Innovation: When Storage Takes Command
PowerScale delivers unmatched performance and scale for AI-driven transformation, while 122TB drives reshape enterprise infrastructure, proving storage is AI’s competitive edge in today’s data era.
‘Open to Work’: The Quickening of AI & the Future of Jobs
From Intel’s layoffs to stealth automation, AI is reshaping work at a pace that outstrips human adaptation—driving record stress, uneven gains, and a scramble to reskill before the next downturn hits.
Sema4.ai Delivers Agents of Change
The pace of AI innovation is accelerating, and Sema4.ai’s vision goes beyond large language models (LLMs) to the transformative potential of AI agents. These agents, unlike traditional software, complete tasks autonomously, acting as knowledge workers that can reason, collaborate, and deliver work products. Sema4 pioneers this technology, offering AI agents optimized for specific industries, enhancing productivity significantly.
Cornelis Networks Aims for AI Fabric Growth with Lisa Spelman at the Helm
Lisa Spelman introduced as new CEO of Cornelis Networks
Advanced Semiconductor Packaging: The Secret Hero for the AI Infrastructure Era
Unveiling the Role of Advanced Semiconductor Packaging in Powering AI: Explore the innovations in 2.5D and 3D packaging, high bandwidth memory, and chiplet solutions driving AI infrastructure into the future.
Microsoft Stuns with Speed of AI Innovation and Integration at MS Build
TechArena’s take from Satya Nadella’s keynote at MSBuild 2024. This post covers infrastructure, silicon collaborations and service delivery.
The Rise of Custom Silicon in the Generative AI Era: An Interview with Alphawave Semi's Mohit Gupta
TechArena’s take on custom silicon advancements in the AI era with Alphawave Semi.
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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.
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.
