The Rise of Neo-Clouds: Russ Artzt on the New AI Infrastructure Stack
Russ Artzt discusses how the AI boom is driving a shift in infrastructure, with neoclouds emerging as specialized GPU providers to meet surging compute demand. The new AI stack emphasizes integration, workflow-centric storage, and the importance of operational expertise and standards compatibility.
The Global AI Data Center Gold Rush: Why Data, Not Compute, Will Decide Who Wins
The article highlights that while AI data center construction is booming, long-term data storage and governance are being overlooked. It warns that data, not compute, will drive future infrastructure risks and costs, urging builders to prioritize storage strategies for lasting success.
The Jevons Paradox of AI Compute and the Hidden Cost of Storage Growth
AI efficiency gains are driving exponential data growth — the Jevons Paradox reborn. As compute gets cheaper, storage costs and energy use surge. This article explores how to design infrastructure that scales intelligently, not infinitely.
Inference Is Cheap, Data Isn’t: The New Cost Curve of AI Infrastructure
As compute gets cheaper, storage becomes AI’s new bottleneck. This article explores how falling inference costs collide with stagnant storage pricing — and how CIOs can align data architecture with AI’s new economics.
Why Tokenization Costs More Than Egress—and Why It’s Time to Rethink AI Infrastructure
Tokenization is now the largest variable cost in cloud AI — far outpacing egress. This article explains why token fees dominate, the risks for AI startups, and practical infrastructure strategies (self-hosting, hybrid GPUs, storage optimization) to control costs and scale profitably.
The Data Layer Unlocked: DSMS and the New Era of Intelligent Storage
Data Storage Management Services (DSMS) transform hybrid cloud infrastructure by integrating governance, automation, and intelligence into the data layer — enabling AI readiness, compliance, and cost optimization.
The Future of Storage: How DSMS Powers Analytics and GenAI
Data Storage Management Services (DSMS) are reshaping enterprise storage by enabling governance, cost optimization, and GenAI readiness. Learn how DSMS compares to traditional tools and why it’s becoming essential for CIOs.
The Hidden Costs of AI Data Pipelines (and How to Eliminate Them)
Hidden costs in AI pipelines—like storage sprawl, egress fees, and idle data—often outweigh compute expenses. Learn how to cut waste and optimize performance.
AI Infrastructure Basics: A 101 Guide
Explore AI infrastructure essentials, including compute, storage, networking, data pipelines, workload types, and cloud vs. on-prem strategies for startups and enterprises.
Cost Optimization for Cloud Storage: Designing for Efficiency from Day One
Learn how to optimize cloud storage for AI workloads, aligning data placement, tiering, and caching to maximize GPU efficiency and control costs from day one.
