Why Two‑Phase Direct‑to‑Chip Cooling is Reaching a Tipping Point
May 19, 2026
Modelon & University of Maryland Researchers to Present Findings at Upcoming Conference Artificial intelligence and high-performance computing (HPC) are fundamentally reshaping the way data centers are designed. Power densities continue to rise, thermal margins are tightening, and workloads are becoming more dynamic and less predictable. HGX H100 racks introduced in 2022 consumed around 40–60 kW, […]
AI Liquid Cooling at System Scale
April 29, 2026
A recent presentation at Data Center World highlights how system simulation is becoming a critical capability for designing, procuring, and operating AI data centers. AI has been embedded in digital infrastructure for years, quietly powering services like recommendation engines, security systems, and automation. What changed in late 2022 was accessibility. With the rise of generative […]
Engineering AI that Supports Real Decisions
April 23, 2026
Executive Summary Engineering teams rarely struggle because they lack possible answers. They struggle because getting from a question to a trustworthy answer takes work: choosing the right model, deciding which assumptions are acceptable, configuring a study that can actually run, understanding why a run failed, and turning results into something that supports a real decision. […]
AI Assisted Simulation Now in Modelon Impact
April 21, 2026
Modelon’s new AI Assistant helps engineers get started faster, troubleshoot more easily, and move through simulation work with greater confidence. Simulation software has long asked users to do a lot of the heavy lifting themselves. Setting up models, working through errors, and finding the right next step often takes time, experience, and access to the […]
5 Questions to Ask Before Trusting AI-Related Simulation Results
April 16, 2026
AI can now generate simulation models from natural language prompts. It can derive equations, write code, configure experiments, and produce results. For engineers evaluating these capabilities, the interesting question is no longer, “Can AI do it?” It almost always can. The harder question is: “Should I trust the result enough to make a decision?” That […]
From Intent to Action: Agentic AI for Vehicle Dynamics in Modelon Impact
March 30, 2026
Artificial intelligence is already capable of turning engineering intent into executable models. The next step is putting that capability to work. Previously, we explored why equation-based, physics-driven modeling is uniquely suited for AI. Now, we move from capability to application. What happens when AI is not just generating models, but actively participating in engineering workflows? […]
From Intent to Insight: AI-Driven, Physics-Based Modeling with Modelica
March 18, 2026
Artificial intelligence is changing engineering workflows at a remarkable pace. But in the race to adopt AI, one question matters more than most: What kinds of engineering tools are actually ready for this new era? The answer may have less to do with flashy interfaces and more to do with something foundational: open, structured, machine-readable, […]