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
Source: Meta LLaMA 3 Training Study, 16,384-GPU cluster
ADDC.ai's Federator.ai Cortex directly addresses the #1 cause with 94% failure prediction accuracy
$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 Ops Platform for AI Factories
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. Includes Martin-SRE autonomous agent for self-healing operations and Wingman AI natural language copilot for fleet queries:
Beyond rigid DDP/ZeRO/Pipeline choices
Dynamically selects and reconfigures parallelism strategies. Integrated with KAI Scheduler for intelligent GPU-aware job scheduling 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:
Proof of Trust 4-phase autonomous governance:
Full-stack situational awareness for the AI Factory.
8-mode failure pipeline with 72-hour advance warning at 94% accuracy
Using Federator.ai's sense-synthesized time series and TadGAN-based anomaly modeling with an 8-mode failure detection pipeline:
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 future data center is a Token factory. Your data center is now a factory—its raw material is data, its power is accelerated computing, and its output is intelligence, delivered as tokens."
Federator.ai Cortex maximizes your token output per watt—the new measure of AI Factory profitability. Every GPU cycle wasted is revenue lost.
"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 Ops Platform for AI Factories — bridging IT intelligence with OT operations. Protected by 16 US Patents + 15 Pending.
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 Cortex 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.
Patented Multi-Layer Correlation engine (US Patent 11,579,933) discovers causal relationships across GPU workloads, network fabric, cooling systems, and power distribution in real time. When performance degrades, Cortex traces root cause across application, infrastructure, and environmental layers simultaneously—not just monitoring, but understanding why things fail and what to do about it. No single-layer tool can see what Cortex sees.
World's first patent for spatial and temporal GPU optimization. Predictive 4D scheduling engine optimizes workload placement across time, space, power, and thermal dimensions. Integrates with NeMo Megatron, DeepSpeed ZeRO, Ray, and Alpa for adaptive parallelism selection that maximizes training throughput across heterogeneous GPU generations (H100, B200, GB300, and future architectures).
Martin-SRE autonomous agent detects, diagnoses, and remediates GPU failures without human intervention—replacing brittle runbooks with AI agents that reason, adapt, and act. Wingman AI delivers natural language copilot access for fleet-wide queries and incident investigation. LangGraph-powered multi-agent pipeline coordinates triage, cooling, billing, and maintenance autonomously. Reduces operational headcount by 60–80%.
Model Predictive Control (MPC) thermal management for 200kW+ rack densities. Adaptive coolant flow optimization with rack-level heatmap monitoring that responds to workload intensity in real time. HVAC integration for holistic facility thermal management. Achieves 45% higher cooling throughput than manual BMS while maintaining GPU junction temperatures within optimal operating range.
ML-driven anomaly detection pipeline across 8 failure modes with 72-hour advance warning at 94% accuracy. Health dimension radar monitors ECC errors, thermal cycling stress, power draw variance, and more. Graceful workload migration via kMotion live migration before hardware degradation impacts training or inference SLAs. Critical for 200–300kW racks where a single failure can wipe out multimillion-dollar training runs.
Autonomous operations require earned trust, not blind trust. Cortex deploys AI agents through four progressive governance phases—Shadow, Advisory, Autonomy, and Full—each with cryptographically hashed evidence packs and tamper-proof audit trails. This framework ensures safe, verifiable autonomy progression while maintaining complete operational accountability and compliance readiness.
Purpose-built configurations for the most demanding AI workloads across industries.
Ultra-low-latency inference for real-time trading models, risk analytics, and regulatory compliance pipelines.
Accelerated molecular simulation, protein folding, and genomic sequencing with sovereign data residency.
Fine-tuning and serving at scale for proprietary large language models with enterprise-grade security.
Elastic GPU infrastructure for SaaS platforms shipping AI features to millions of end users.
Whether you operate 2 MW or 200 MW, Federator.ai Cortex is the AI Ops platform purpose-built for AI-Driven Data Centers.