
Federator.ai Cortex™ closes the IT/MEP loop between GPU workloads and facility cooling — synchronizing IT operations with mechanical, electrical, and plumbing systems under one control plane. By orchestrating the full DCOO lifecycle (Design, Construction, Operation, and Optimization) and forecasting workload spikes 60 to 120 seconds in advance, the platform pre-stages cooling before heat builds up, eliminating thermal throttling and reclaiming up to 10% of GPU capacity that would otherwise sit stranded.
Patented 4D Probabilistic Scheduling allocates GPU resources across four dimensions — space (MIG/MPS slicing), time (job duration), thermal load (heat zones), and power (rack limits) — while the KAI Scheduler shifts allocation from reactive to predictive. Adaptive Distributed Parallelism (ADP) automatically optimizes communication paths between GPUs regardless of generation. Together, these deliver a +50-percentage-point utilization gain and 2x GPU efficiency, sustaining utilization up to 95%.
It means synchronizing GPU workloads (IT) with facility cooling, power, and plumbing systems (MEP/OT) under one control plane, so cooling is pre-staged ahead of demand instead of reacting after the fact. This is what eliminates thermal throttling and recovers up to 10% of stranded GPU capacity.
60 to 120 seconds before a workload spike occurs, giving the cooling system enough lead time to pre-stage capacity before heat-induced throttling can happen.
Patented 4D Probabilistic Scheduling allocates GPUs across space, time, thermal load, and power simultaneously, while Adaptive Distributed Parallelism optimizes inter-GPU communication. Together they deliver a +50 percentage point utilization gain, 2x GPU efficiency, and sustained utilization up to 95%.
Martin-SRE is the AI agent system Federator.ai Cortex uses to model the precursors to catastrophic GPU failures. It works alongside TadGAN anomaly modeling and the kMotion Engine as part of the platform’s resilience layer, which together deliver a 90% reduction in unplanned downtime.
It ships with all 19 NVIDIA Cloud Partner (NCP) API categories pre-integrated, cutting compliance timelines from about 12 months to a few weeks. Its closed, local control loops also ensure zero operational data exfiltration, supporting sovereign AI cloud deployments.
ProphetStor Data Services, Inc. is based in Milpitas, California. The company builds AI-native solutions for operating and optimizing AI factories.
For more information, visit www.prophetstor.com .
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