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Tier-0 Cognitive Energy OS Framework

An advisory intelligence architecture combining RAG, fine-tuned reasoning, formal planning, constraint solvers, and external verifiers. The framework operates as a governance layer above existing DCIM, BMS, and IT systems, producing recommendations without taking control of infrastructure.

Primary Optimization Objectives

The framework optimizes across five critical dimensions, balancing competing priorities through multi-objective optimization.

Cost

Energy spend, demand charges, peak shaving

Carbon

CO2e per job/request, carbon-aware shifting

Reliability

Electrical/thermal envelopes, N+1 constraints

Performance

SLA/SLO for inference, time-to-completion

Compliance

Audit-ready metering, allocation, reporting

Reference Architecture Pipeline

An eight-stage pipeline from data ingestion to auditable execution.

Sense
Normalize
Attribute
Plan
Optimize
Verify
Execute
Audit
Data Plane (Telemetry + Context)
  • Electrical: UPS/PDU/RPP meters, branch circuits, generator fuel
  • Cooling: Chillers, CRAH/CRAC, pumps, economizers, valve positions
  • IT: Node power (Redfish/IPMI), GPU telemetry (NVML/DCGM), CPU/mem, job metadata
  • Environment: Rack inlet temps, humidity, hotspots
  • Market: Tariff, demand charges, TOU pricing, carbon intensity, DR events
  • Topology: One-line diagrams, feeder capacities, redundancy state
Knowledge Plane (RAG Corpus)
  • FACILITY_TOPOLOGY: Feeders, PDUs, rack mapping, redundancy state
  • LIMITS_POLICY: Thresholds, safety margins, max caps
  • SCHEDULER_POLICY: Priorities, preemption rules, deadlines
  • TARIFF_MODEL: TOU rates, demand charge rules, DR triggers
  • CARBON_INTENSITY: Grid mix by region/time
  • INCIDENT_KB: Known failure modes, prior root causes, mitigations
  • HARDWARE_KB: Power curves, thermal limits, recommended caps

External Verifier Suite

Seven non-negotiable gates that every output must pass before execution. If any verifier fails, the system regenerates or escalates to human review.

1

Schema/Contract Validator

All outputs match JSON schema; no missing required fields

2

Electrical Envelope Checker

Proposed plan cannot exceed feeder/PDU/rack limits (with safety margins)

3

Thermal Guardrail Checker

Plan respects predicted rack inlet temperature bounds + hotspot risk threshold

4

SLA/SLO Validator

Inference capacity and latency budget preserved

5

Change Risk / Blast Radius

Any facility setpoint change requires explicit risk classification and rollback plan

6

Numerical Sanity

kW/kWh/unit checks, monotonicity, bounds, unit conversions

7

Audit Logger

Persist inputs used, assumptions, plan, verifier outcomes, final actions

Policy Enforcement

If any verifier fails, the system will either regenerate the output with corrected parameters or escalate to human review. No unverified outputs are permitted to reach execution.

Control Surface

The framework operates across IT, facility, and contract domains with appropriate levels of automation and human oversight.

IT Side
  • Schedule/queue/migrate batch jobs
  • Set GPU power caps/clocks
  • Consolidate/hibernate nodes
  • Autoscaling guidance
Facility Side
  • Recommendations by default
  • Human-in-the-loop approval
  • Optional BMS/EMS setpoint writes
  • Safety-first approach
Contracts
  • Enforce hard safety limits
  • Feeder, UPS, PDU constraints
  • Rack inlet temp limits
  • Redundancy mode enforcement

Key Differentiators

What sets the Helios Cognitive Energy OS apart from traditional DCIM and facility management solutions.

Zero-Risk Operations

Advisory-First Model

Non-intrusive, operator-governed advisory layer. No direct plant control, zero operational risk.

Granular Visibility

Job-Level Attribution

Energy and carbon attribution down to individual jobs, clusters, tenants, and business units.

Compliance Assured

Zero-Violation Safety

ARCS/ARCF overlays, IQAS v5.x audit gates, and SINE v2.0 protocols ensure compliance.

Audit-Grade

WEP Evidence Bundling

Cryptographically signed evidence bundles with hash-linked provenance for audit readiness.

Proven Results

Verifiable ROI

8-20% addressable cost savings with $600,000+ annualized savings potential.

Enterprise Ready

Audit-Grade Rigor

Continuous scenario testing, immutable recordkeeping, and board-ready reporting.

Compliance Standards Supported

Full compliance mapping to major regulatory frameworks and industry standards.

GRI

Global Reporting Initiative

SASB

Sustainability Accounting

CDP

Carbon Disclosure Project

SEC Climate

SEC Climate Disclosure

EU CSRD

Corporate Sustainability

ISO 14001

Environmental Management

ISO 50001

Energy Management

TCFD

Climate Financial Disclosures

Target Buyer Profiles

Purpose-built for organizations with significant data center energy footprints.

AI/HPC/ML Cluster Operators
Cloud Hyperscalers
Enterprise DCs (>$5M/year)
Regulated Industries
Colocation Providers

Ready to Apply the Framework?

Generate production-ready analysis requests that leverage the full power of the Tier-0 Cognitive Energy OS framework.