Products
The Edge Products
Four coordinated product families designed to eliminate ambiguity through SLA-grade telemetry and defined operational boundaries.
What's Included
Specialized high-density environments designed for GPU-intensive inference and training workloads.
High-Density Racks
60kW, 100kW, and 150kW per rack configurations.
Liquid Cooling
Direct-to-chip cooling for maximum density and efficiency.
Defined Envelopes
Pre-engineered power, cooling, and network specifications.
Rapid Deployment
Standardized designs for faster commissioning.
GPU-Optimized Network
High-bandwidth, low-latency fabric for distributed training.
Operational Support
Specialized support for AI infrastructure.
What it unlocks
Maximum density — Run more GPUs per rack than traditional facilities
Faster time-to-production — Pre-engineered designs accelerate deployment
Efficient cooling — Liquid cooling reduces PUE and operating costs
Scalable AI — Grow inference and training capacity predictably
What's measured (SLA boundary)
Power delivery and availability
Cooling performance (inlet temps, flow rates)
Network throughput and latency
GPU utilization and health
Incident response times
Measurements are demarc-to-demarc within the AI Zone service boundary.
Optional add-ons (upcharges)
Reserved Expansion: Guaranteed capacity for future GPU deployments.
Enhanced Cooling: Support for next-gen GPU thermal requirements.
Dedicated Fabric: Private high-bandwidth network for your workloads.
ML Ops Support: Specialized operational support for AI workloads.
Ideal customers
AI companies running large-scale inference
Enterprises deploying internal LLMs
Research institutions with GPU clusters
Cloud providers expanding AI capacity
How it works
1
Define requirements
GPU type, density, and cooling needs.
2
Select configuration
60kW, 100kW, or 150kW rack programs.
3
Deploy and scale
Commission with defined acceptance gates.