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PANAMA POWER

Accelerating AI Infrastructure
Deployment

Next-Generation AI Power
Architecture WITH SST DEPLOYMENT

ETAC is conducting a limited AI infrastructure evaluation initiative focused on next-generation SST deployment, scalable 800VDC architecture, and high-density power systems.

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The AI Infrastructure Challenge

AI workloads are growing exponentially, requiring a new generation of power infrastructure that traditional systems were not designed to handle.

AI Deployment Bottlenecks

GPU Density Growth

Infrastructure Scalability Pressure

Utility and Deployment Limitations

800VDC Industry Shift

WHAT IS PANAMA POWER?

A New Path for AI
Infrastructure in the Americas

  • Emerging AI infrastructure architecture concept
  • Inspired by the Panama Canal bottleneck analogy
  • Faster deployment
  • Reduced conversion complexity
  • More direct power pathways
  • Scalable AI infrastructure expansion

WHY AI DATA CENTERS ARE MOVING TOWARD 800VDC

Built for the Demands
of AI Workloads

800VDC power systems reduce conversion stages, improves efficiency, and enable higher power density, critical for next generation AI data centers. 

  • Higher rack power density
  • Fewer conversion stages
  • Medium-voltage DC systems
  • Reduced footprint
  • Faster deployment capability

NEXT- GENERATION SST ARCHITECTURE

Solid-State Transformer (SST) Architecture For AI Infrastructure

ETAC’s Solid State Transformer (SST) platform delivers compact, efficient, and scalable power for AI data centers.

  • Medium-voltage AC to DC conversion
  • Modular deployment
  • Flexible scalability
  • High-density AI infrastructure integration
  • Faster commissioning

13.8kV AC

Input Voltage

800VDC / 400VDC

Output Voltage

1.25MW / 1.5MW / 3MW

Configurations

Learn more about ETAC’s Solid-State Transformer platform.

Panama power

ETAC AI Infrastructure Evaluation Program

  • Limited SST evaluation initiative
  • Market evaluation and infrastructure research
  • Qualified AI infrastructure projects
  • Real-world deployment discussion

Pain points:

  • Voltage stability
  • Infrastructure redesign during expansion
  • Limited electrical space
  • Deployment delays
  • Scalability limitations
  • Complex power architecture

Qualified Project Types

AI
Data Centers

GPU
Cluster

HPC
Facilities

AI Cloud Infrastructure

Industrial
DC Systems

Energy Storage Integration

Limited Availability

  • Small number of qualified projects
  • Internal review process
  • Infrastructure alignment evaluation
  • Deployment readiness discussion
Request Evaluation
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