macro

Modelon expands data center library for AI cooling system simulation

Modelon expanded its Data Center Library in Modelon Impact with two-phase cooling models and reference scenarios, according to TradingView.

the public page opens no earlier than 15 minutes after we detect the story. approved stories may reach the api sooner. connect the api →

what happened

Modelon, a provider of system simulation software, has announced a major expansion of its Data Center Library for Modelon Impact, according to TradingView. The tools are designed to help engineers evaluate and optimize advanced cooling systems for next-generation AI infrastructure.

Rising AI workloads are pushing rack power densities higher and accelerating the shift toward liquid cooling and technologies such as two-phase direct-to-chip cooling. The library, developed with the University of Maryland, includes validated models for two-phase cooling, new reference scenarios reflecting weather and IT workloads, and pre-calibrated equipment such as CRAHs.

The company says the update lets users simulate complete cooling systems before equipment is built or installed, which reduces the need for costly physical testing.

why it matters

For markets this is mainly an industry news item about data center technology rather than an event for a broad investor audience. Demand for AI cooling solutions is growing alongside investment in computing capacity, but the text suggests no direct effect on the share prices of large companies. Modelon shares trade on Nasdaq First North Growth Market under the ticker MODEL.

market impact

Modelon (MODEL): wider product range may support interest in its data center design software

tags

instruments

MODEL

sources

  1. Modelon Expands Data Center Library for Next-Generation AI Cooling — TradingView, 22 October 2026 at 07:00 UTC

prepared by the newsmetry newsroom with ai assistance from the sources listed below. not investment advice.

the public page opens no earlier than 15 minutes after we detect the story. approved stories may reach the api sooner.

get stories in real time ↗