logo-mark

Cookie Settings

We use cookies to operate this website, improve usability, personalize your experience and improve our marketing. Your privacy is important to us. Privacy Policy.

Productbreaker

March 04, 2026

breaker

4 min read

March 04, 20264 min read

Phaidra launches AI platform to operate AI factories at scale

header-image

Share

At this year’s NVIDIA GTC in San Jose, Phaidra launches its AI platform Phaidra Prism designed to accelerate data center operations and meet the demand of AI workloads. Gigawatt-scale factories require new methods for everything from design to operations, and Phaidra Prism delivers detailed visibility and advanced collaborative intelligence to AI factory operators so that they can maximize tokens per watt while limiting operational expenses.

Phaidra Prism is an AI assistant designed by data center experts for data center operators and technicians and is already integrated with NVIDIA DSX Exchange, which helps AI factories maximize output and token performance via a common data and control layer — unifying Information Technology (IT) and Operational Technology (OT) within AI Factories. Prism users interact with equipment and their data through a customized LLM to understand operating conditions, conduct detailed analyses, and troubleshoot issues before they impact SLAs.

“Traditional methods of operating data centers no longer suffice,” said Phaidra CEO and Co-Founder Jim Gao. “Modern data centers are substantially larger and more complex, coinciding with a significant increase in the cost of downtime. That’s why Phaidra is building new technologies that put data center operations at the forefront. All this mission-critical infrastructure needs new tools to ensure safe and reliable operations, at scale.”

Through Phaidra Prism — the first AI assistant designed specifically for data centers — technicians use the AI’s advanced reasoning capabilities to uncover operational issues, prioritize fixes and ultimately troubleshoot to resolution.

With the tool’s conversational interface, users engage directly with their AI factory infrastructure instead of digging through fragmented documentation or manually combing through BMS data.

As a result, operations teams with Phaidra Prism achieve:

  1. Greater reliability - identify and resolve issues before they cause problems.

  2. Higher uptime - reduce the risk of catastrophic outages.

  3. Increased productivity - troubleshoot complex issues in a fraction of the time with AI assistance.

Phaidra will be demonstrating the power of Phaidra Prism at GTC conference booth #95. Sign up for a time slot or just stop by.

About Phaidra

Phaidra is focusing on enabling gigawatt-scale data center operations to meet the demand of AI workloads. Phaidra combines deep data center knowledge with leading AI expertise and extensive industrial controls specialization. Founded in 2019 by former Google, DeepMind and Trane engineers — Phaidra is ushering in a new age of data center operations with AI agents for AI factories.

Featured Expert

Learn more about one of our subject matter experts interviewed for this post

author-avatar

Chris Vause

VP, Analytics & Observability

Chris Vause is a member of the Leadership team at Phaidra and serves as the VP, Analytics & Observability. He sets the strategic direction for the development of our AI analytics solutions and leads the domain expert teams responsible for architecting AI systems for customers. Prior to Phaidra, Chris worked for Trane Technologies in various capacities for over 12 years - including as an Applied Systems Engineer, a traveling Applications Engineer, and a Building Automation Services Technician.

Share


Recent Posts

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

AI | January 07, 2026

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.

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.

Research | December 03, 2025

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.

AI

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

AI | November 04, 2025

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

Phaidra Logo
linkedin

Subscribe to our blog

Stay connected with our insightful systems control and AI content.

You can unsubscribe at any time. For more details, review our Privacy Policy page.

© 2026 Phaidra Inc. All Rights Reserved.
Alfred