The Edge AI Compute Facility is a 30 MW next-generation data center designed for AI, deep learning, and high-performance computing (HPC) workloads. Featuring high-density GPU servers, liquid cooling, and ultra-low latency networking, it provides optimal performance for AI model training and real-time analytics.

Designed to handle highly sensitive AI and deep learning workloads, Edge AI Compute Facility adheres to ISO 27001, SOC 2, and HIPAA compliance standards. The facility employs real-time AI-driven cybersecurity monitoring, proactively detecting and mitigating threats before they impact operations. Secure multi-tenant AI environments allow for safe, isolated training of AI models, ensuring data privacy and integrity. With on-site energy storage and redundant power backup systems, the data center guarantees continuous uptime for critical AI-driven applications.

Building better development

As a high-density AI and machine learning data center, Edge AI Compute Facility implements cutting-edge liquid cooling technology, reducing energy consumption by up to 70% compared to traditional air cooling. The facility utilizes AI-driven power scaling, dynamically adjusting energy consumption based on workload intensity, leading to significant power savings. Additionally, the data center integrates 5G-powered edge computing, reducing the need for extensive energy-intensive long-haul data transfers. Partnering with green energy suppliers, the facility operates on renewable electricity sources, aiming for 100% carbon neutrality by 2035.

  • AI-Optimized Servers
  • High-Density Liquid Cooling
  • Real-time AI inference with near-zero latency
  • AI-driven adaptive energy consumption

location

Georgia, us

sector

Infrastructure, IT

technology

Modular Construction

scope of work

12000+

completion date

May 2026

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