Modius Blog

Unifying data center operations for the AI era

OpenData enables faster decision-making, improved resiliency, and future-ready operations for AI-era data centers….

No time like the present: The value of real-time data for infrastructure management

TL;DR AI and high-density workloads are increasing the complexity, volatility, and risk within modern data center environments. Real-time infrastructure data is becoming essential for maintaining operational visibility and responding to rapidly changing conditions. Traditional, fragmented…

From Training to Inference: Why DCIM Is Becoming Mission-Critical

TL;DR: What Does the Shift from Training to Inference Mean for DCIM and AI Infrastructure? As AI moves from training to inference, data center operations shift from large, periodic, centralized workloads to always-on, latency-sensitive, distributed…

DCIM for AI: Designing Power, Cooling and Observability for GPU-Heavy Data Centers

TL;DR: AI and large-scale GPU clusters change the DCIM (Data Center Infrastructure Management) playbook. Expect much higher rack power densities, commonly 30 to 80+ kW per rack, along with new cooling approaches such as rear-door…

First-Time DCIM Buyer’s Guide: How to Choose Data Center Infrastructure Management Software That Eliminates Blind Spots

Data center operators are facing a growing infrastructure challenge. Most facilities run a hybrid mix of legacy operational technology—generators, UPS systems, building management systems—and modern IT equipment. This creates a fragmented operational environment where critical…

DCIM and Cost Control: Turning Data Center Visibility into Financial Discipline

Executive Summary Data Center Infrastructure Management’s (DCIM) most durable value is not visibility alone—it is financial discipline. When used as a system of record for physical infrastructure, DCIM enables predictable cost control across capital planning,…