Turning data centers into adaptive AI factories—
flexible, autonomous, and future-proof.
"I didn't want to get stuck with massive scale of one generation... The pacing matters, the fungibility and the location matters, the workload diversity matters."
Satya Nadella CEO, Microsoft
$100B+ investments in GPU data centers with uncertain 5-7 year utility horizons
Hardware generations evolve faster than infrastructure can adapt
Training, inference, and emerging AI applications demand different resources
Cooling and power demands change dramatically with each GPU generation
"The world's data centers... are now AI factories that produce a new commodity: artificial intelligence."
Jensen Huang CEO, NVIDIA
ADDC.ai transforms static data centers into Adaptive AI Factories—infrastructure that evolves with workloads, predicts failures before they happen, and optimizes resources in real-time.
The Adaptive AI Factory Operating System
The Global AI Compute Marketplace
Five core capabilities that transform GPU infrastructure operations
Real-time optimization engine for the AI Factory
Continuously analyzes and autonomously shapes cluster layout and job distribution:
Beyond rigid DDP/ZeRO/Pipeline choices
Dynamically selects and reconfigures parallelism strategies based on:
Peak efficiency whether training 70B models or running agentic pipelines.
One control plane for full-stack awareness
Most AI failures today come from OT blind spots. ADDC.ai integrates:
Full-stack situational awareness for the AI Factory.
Hours to days ahead with actionable mitigation
Using Federator.ai's sense-synthesized time series and TadGAN-based anomaly modeling:
Critical for 200–300 kW racks and GB200-class clusters where a single failure can wipe out multimillion-dollar training runs.
The answer to "Will my investment still be useful in 3 years?"
The single biggest fear for GPU facility owners—ADDC.ai ensures the answer is yes:
Jensen Huang declared that "every company will have an AI factory" and that data centers are becoming factories that manufacture intelligence.
| Traditional Data Center | AI Factory with ADDC.ai |
|---|---|
| Static capacity planning | Dynamic workload adaptation |
| Reactive maintenance | Predictive GPU failure prevention |
| Siloed IT/OT management | Unified operational intelligence |
| Fixed hardware generations | Generation-agnostic operations |
| Local optimization | Global compute federation |
"The world's data centers have become AI factories. They take in raw data and produce intelligence."
AI Factories require AI Operations. You cannot manufacture intelligence at scale with manual operations and siloed systems.
"Accelerated computing and generative AI have reached the tipping point."
ADDC.ai ensures your AI Factory infrastructure keeps pace with exponential AI growth—adapting to new GPUs, workloads, and efficiency requirements.
"The key thing for us is to have our builds and leases be positioned for what the workload growth of the future."
Our platform enables infrastructure that evolves with workloads rather than constraining them. No more betting on obsolete assumptions.
"Building infrastructure that can serve any workload, anywhere."
The AboveCloud Platform creates a global fabric where compute resources flow to workloads based on real-time demand, location, and efficiency metrics.
The Adaptive AI Factory Operating System - bridging IT intelligence with OT operations
Global AI Compute Marketplace - Federate capacity across sites, optimize workload placement, enable compute trading
Reduce deployment from 18 months to 3 months. Maximize ROI from Day 1.
Pre-integrated with prefabricated modular data center designs. Factory-tested rack-level configurations arrive ready to deploy, reducing on-site construction time by 40%+ and eliminating integration surprises.
Optimized for high-density 120kW+ racks from day one. Intelligent power distribution that scales from first rack to full capacity, with real-time PUE optimization under 1.15.
GPU servers managed at rack granularity with NVIDIA DGX GB200 NVL72 native support. 72 GPUs per rack operate as unified compute with 2L/s liquid cooling at 25°C inlet.
Federate AI compute capacity across multiple sites worldwide. Enable compute trading between facilities, optimize workload placement based on power costs, carbon intensity, and data locality requirements.
Prefabricated modules are built and tested in parallel with site preparation. Federator.ai DataCenter OS is pre-installed and validated before shipping.
Accelerating national AI initiatives with packaged, ready-to-deploy AI Factory solutions
Nations worldwide are investing over $50 billion in sovereign AI infrastructure. The challenge isn't just building data centers—it's operating them effectively while maintaining data sovereignty and enabling local innovation.
Pre-validated AI application stacks for critical national services, reducing time-to-value from years to months.
Infrastructure optimized for training and deploying language models in local languages, preserving cultural context and data sovereignty.
Complete AI Factory solution including infrastructure, software, and operational support—from site selection to production workloads in months, not years.
Workloads inform infrastructure decisions, not the other way around. Real-time correlation between AI training/inference patterns and facility operations.
ML models trained on millions of GPU operational hours. Failure prediction windows of 2-4 weeks enable proactive maintenance and graceful workload migration.
Dynamic model partitioning across heterogeneous GPU generations. Automatic workload rebalancing as infrastructure changes. Optimal utilization of mixed environments.
Real-time synchronization between compute operations and facility systems. Unified data model spanning servers, networking, cooling, and power.
Whether you operate 2 MW or 200 MW, ADDC.ai is the AI-Defined Operating System for AI-Defined Data Centers.