Salute + Phaidra: Engineering the Future of AI Data Center Operations 

The global acceleration of AI infrastructure is redefining how data centers are designed, built, and operated. Traditional methods are no longer sufficient in an environment driven by liquid-cooled, high-density compute platforms.

 Salute and Phaidra have formed a strategic partnership to meet this moment offering the industry’s first integrated solution for AI-scale operations that combines intelligent control with mission-critical operational execution.

Salute

Who Is Salute? 

Salute is a global data center services provider delivering operations, maintenance, and AI infrastructure solutions to 80% of the world’s top operators. With 2,200+ professionals across EMEA, APAC, and the Americas, Salute supports the entire data center lifecycle, from commissioning to steady-state operations, across both traditional and AI/HPC facilities. 

Who is Phaidra? 

Phaidra is a pioneer in adaptive control systems for critical infrastructure. Their AI agents autonomously manage power, cooling, and workload systems, delivering real-time optimization in hyperscale environments. Phaidra has demonstrated results, including a 30% reduction in cooling energy for Google and optimization of NVIDIA GB200/300-based AI factories. 

Why We’re Better Together: Unified Value Proposition 

The combination of Salute’s on-the-ground operational execution and safety leadership for AI-scale infrastructure and Phaidra’s  AI-driven control and optimization delivers a purpose-built approach for precision, scalability, and speed that neither company could achieve alone. 

When to Leverage the Partnership 

Use this partnership when clients are operating or scaling AI-driven, high-density data center environments where traditional facilities management approaches are insufficient, including:  

  • AI factories and hyperscale expansions deploying or scaling 100MW+ AI facilities using liquid-cooled, GPU-based architectures (e.g., NVIDIA GB200/300 systems) 
  • Direct-to-Chip (DTC) liquid cooling adoption requiring disciplined operational support to address new safety protocols, leak response, coolant management, and emergency procedures. 
  • Thermal and energy optimization initiatives where customers are using in-rack or end of row CDU systems (vendor agnostic) and need performance stabilization, such as ramping PG-25 temperatures at server startup to reduce cooling costs. 
  • Global or multi-site operations where standardized, scalable FM&O execution required across neocloud environments. 
  • AI-readiness and innovation programs where measurable improvements in performance, safety, and energy are expected within 60-90 days.  
  • Strategic infrastructure and lifecycle contracts including evaluation of 10+ year operational partnerships aligned with futureproofing evolving AI workloads and sustainability goals. 

How to Leverage the Partnership 

  • RFP responses: Position as a differentiated, purpose-built approach for AI-scale data center operations 
  • Strategic sales conversations: Frame as an operational risk-reduction and efficiency play 
  • Pilots or proof-of-concept programs: Emphasize rapid deployment and early validation of performance and reliability gains 
  • Customer expansion discussions: Extend FM&O value through automation and data-driven insights 

What to Look Out For (Triggers) 

  • New AI or HPC site development 
  • DTC liquid cooling infrastructure 
  • Concerns around GPU throttling or thermal performance 
  • PUE optimization initiatives 
  • Requests for AI-readiness, automation, or predictive ops 
  • Conversations involving NVIDIA platforms or AI workload orchestration 

What’s In It For You? 

  • Differentiation: Stand out with a solution no competitor can match 
  • Recurring Revenue: Long-term O&M contracts for AI facilities 
  • Customer Expansion: New capabilities open doors across lifecycle phases 
  • Pilot-to-Scale Growth: Measurable early wins build trust and upsell paths 
  • Reputation: Position Salute and Phaidra as an innovation leader and AI operations enabler 

Common Clients and Use Cases 

  • Neocloud platforms and GPU-based AI factories 
  • Customers adopting NVIDIA GB200/300 systems 
  • Early-stage deployments scaling from 10MW to 100MW+ 
  • Operators seeking hybrid approaches across traditional and AI infrastructure 

Memorable Statements 

  1. Purpose-built for AI infrastructure with in-rack CDU systems, whether retrofitted or new-build. 
  2. AI-powered control, human-executed reliability.
  3. Safer liquid cooling operations: standardized, trained, and scalable. 
  4. Faster time to ROI, pilot results in 60–90 days. 

 

Who to Contact: 

David Robertson 

Vice President, Value Chain and Partnerships, Salute 

david.robertson@salute.com 

Salute on LinkedIn

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