AI Infrastructure
& Technology
High-density GPU clusters, optimized bare-metal infrastructure, and the technology stack that powers enterprise AI workloads at scale.
Infrastructure Architecture
Every layer of our technology stack is designed for high-density AI compute — from the GPU silicon to the network fabric to the cooling loops.
GPU Compute Clusters
Multi-node GPU clusters with NVLink and NVSwitch interconnects for distributed training. H100 SXM, A100, and L40S configurations optimized for maximum throughput.
Power Infrastructure
2N redundant power architecture with dual utility feeds, N+1 UPS systems, and 48-hour diesel backup. Intelligent PDUs with per-outlet monitoring.
Liquid Cooling Systems
Direct-to-chip liquid cooling supporting 40kW+ per rack. Precision CRAC backup with per-rack temperature sensors and automated thermal management.
Network Fabric
400GbE spine-leaf architecture with multiple Tier-1 transit providers. Sub-millisecond intra-DC latency with inline DDoS mitigation.
Security Architecture
SOC 2 Type II compliant with biometric access, 24/7 CCTV (90-day retention), VESDA fire detection, and FM-200 suppression systems.
Fleet Optimization
Proprietary monitoring and optimization software providing real-time visibility across all GPU nodes, automated alerting, and predictive maintenance.
Available Compute Hardware
NVIDIA H100 SXM
FLAGSHIPNVIDIA A100 SXM
ENTERPRISENVIDIA L40S
INFERENCENVIDIA RTX 4090
DEVELOPMENTPerformance Comparison
Normalized performance multiplier vs. standard cloud GPU instances. Measured across LLM training, image generation, and inference workloads.
Interested in Our Current GPU Hosting or Future
Private Data Center Plans?
Let's discuss how we can support your AI compute needs.