AI
articles
TechArena Fireside Chat: OnLogic Talks Edge Compute Density
Hunter Golden of OnLogic joined Allyson Klein for a candid conversation on scaling edge infrastructure, avoiding over-spec'ing, and right-sizing hardware for evolving AI workloads.
Commvault Private Cloud Software Suite Provides Cloud Resiliency
With AI-driven tools and end-to-end protection, Commvault targets security threats while simplifying across SaaS, cloud, and edge environments.
End of an Era: Why Enterprise is Bailing En Masse from VMware
As Broadcom reshapes VMware, enterprise IT teams are voting with their feet – migrating in droves in search of open, modern, cloud-native infrastructure alternatives.
Cornelis CN5000 Launches: Rewiring AI and HPC Networking at Scale
Cornelis debuts CN5000, a 400G scale-out network built to shatter AI and HPC bottlenecks with lossless architecture, linear scalability, and vendor-neutral interoperability.
VDURA Debuts V-ScaleFlow Tech, Cuts AI Storage Costs 60%
Updated data platform combines hyperscale capacity with reduced flash requirements while adding native Kubernetes support and end-to-end encryption for enterprise customers.
Google's AI Ultra Plan Promises Creative Superpowers – For a Price
Google launches AI Ultra, a $249.99/month plan bundling its top AI tools – but the high price and full-stack consolidation raise questions about accessibility and hyperscaler ecosystem lock-in.
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.
.svg)
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.
