Phaidra Prism is an AI assistant designed by data center experts for data center operators and technicians.

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Phaidra launches AI platform to operate AI factories at scale

An AI factory operates more like a formula 1 racecar, not a typical data center. Find out how Phaidra's AI agents deliver real-time thermal control for synchronized GPU workloads at gigawatt scale while working with a broader partner ecosystem.

AI factory infrastructure as a formula 1 racecar - synchronized thermal control systems managing GPU workloads at gigawatt scale

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A digital & mechanical symphony: Orchestration of an AI factory

What kind of data is needed to safely operationalize predictive AI control? Building on a previous blog, class 3 and 4 data provide the context and simulated future states that power real-world autonomy in industrial AI control systems.

Illustration of how raw industrial data is structured, enriched, and transformed into high-context signals, which enables AI to move from awareness to predictive control.

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From context to simulation: How class 3 and class 4 data make predictive AI possible

Phaidra joins NVIDIA’s Omniverse DSX Blueprint to define the future of energy-efficient, gigawatt-scale AI infrastructure.

Phaidra is part of the NVIDIA Omniverse DSX partnership developing AI agents to maximize energy efficiency and reliability for gigawatt-scale AI factories

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Creating AI agents for gigawatt-scale AI factories with NVIDIA Omniverse DSX Blueprint 

AI system outputs can only be as good as the quality of the data inputs. AI systems can fail when data is mislabeled, messy or misleading. Learn about data classifications and what can be done at each stage to get your data ready for AI

Visualizing the data classification process in AI factories - how raw industrial data is cleaned, structured, and made ready for agentic AI systems.

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Is your data ready for AI? (Hint: It's probably not)

Tired of reactive mode? Discover how AI-powered insights help operators stay ahead, prevent failures, and take back control

Fusion of AI precision and human wisdom enabling smarter industrial decision-making.

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Lessons from the NOC: Bridging the gap between smart tools and wise teams 

Practical strategies for securing data centers in 2025 that address cybersecurity, cloud computing risks, and IT/OT integration challenges.

Cyber Security strategies for data centers in 2025

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Navigating 2025’s cybersecurity challenges: Practical insights for data center operators

Preparing data centers for the future will include AI optimization, better power management, and system integrations to maintain a lead on rising compute demands.

Illustration of data halls managed with Phaidra's AI for future-ready cooling systems

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Setup for success: Future-proofing data centers

Data center hyperscalers and colocation providers face challenges meeting sustainability goals as the AI boom drives exponential computing demand. Working together could unlock more.

Hyperscaler's High Tech Sustainability Goals Vs. Operational Reality

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yperscaler's High Tech Sustainability Goals Vs. Operational Reality

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Hyperscalers: sustainability goals vs. operational reality

The Fourth Industrial Revolution advances industrial sustainability through AI and other technologies, increasing efficiency, reducing emissions, and conserving resources—contributing to a higher net positive change

Artificial Intelligence plays a big role in the Fourth Industrial Revolution

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The 4th industrial revolution: A hyper-efficient, sustainable future

Revolutionizing operations with AI Industrial Controls. Learn how industrial automation powered by artificial intelligence enabled adaptive control can optimize mission-critical facilities for unparalleled efficiency.

AI industrial controls network diagram showing interconnected operations using industrial automation in mission-critical facilities.

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Virtual plant operator technology: The next-generation of industrial control

At Merck's highly optimized production site in West Point, PA, Phaidra's autonomous AI Virtual Plant Operator solution is further enhancing reliability, stability and energy efficiency by refining the most difficult edges of optimization.

AI Control of Mission Critical Cooling at Merck

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Autonomous AI control of mission critical cooling at Merck

Phaidra, in collaboration with industry leaders NVIDIA and CoreWeave, announced a groundbreaking methodology to drastically improve the thermal stability of liquid-cooled AI data centers.

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Phaidra, CoreWeave and Applied Digital pioneer NVIDIA Max-Q AI factories with agentic liquid cooling management

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AI agents for liquid-cooled AI factories

Read Phaidra's white paper to learn how to prevent GPU throttling and safely increase facility temperatures to drive more revenue-generating compute.

Phaidra Whitepaper_AI agents for liquid-cooled AI factories.pdf

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