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AI-Powered
GreenOps for Hybrid & Multicloud

Measure, understand, and reduce the carbon impact of your hybrid and multicloud infrastructure – without performance or cost trade-offs.
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AI Powered GreenOps

Sustainability Recommendations

Analyze infrastructure telemetry, utilization, workload criticality, cloud pricing, carbon intensity and sustainability goals to recommend the next best action.
  • Balance carbon, cost, and performance SLAsSLA, and sovereignty requirements
  • Explain projected impact before every recommendation
  • Realized savings measured and fed back to improve the model
  • One decision model across data center, cloud, and AI workloads
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cerne-greenops

From Carbon Visibility to
Measurable Reduction

One GreenOps layer across the infrastructure estate – so teams can move from
reporting emissions to actively reducing them.

Datacenter and Cloud Visibility

One view across colocation, private cloud, and every public cloud.
Real-time telemetry ingestion
Unified estate view

Workload-Level Emissions Attribution

Carbon traced to the application, container, VM, and GPU.
App, container & VM level
GPU-level attribution
Scope 1 / 2 / 3 breakdown
workload level emission

AI & GPU Sustainability

Model, token, and GPU-level efficiency for the AI factory.
GPU efficiency
Model & token intelligence
Training & inference optimization
GPU Sustainability
carbon Governance
Carbon Governance and Compliance
Closed-Loop Automated Remediation
Cost carbon performance
Cost, Carbon, and Performance
Optimization

Guide

GreenOps: From Reporting to
Reduction

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Measure

Account for carbon across every layer – energy, PUE, carbon intensity, and Scope 1, 2, and 3 emissions – attributed down to the workload and surfaced in executive dashboards.

Optimize

Cut waste and emissions through rightsizing – extending to GPU efficiency, storage lifecycle, and workload relocation, each tested with scenario planning before you commit.

Govern

Set budgets and targets, enforce them with policy-as-code, guardrails, and approvals, and prove it with audit trails and reporting.

AI Research Enterprise Optimizes GPU Efficiency with UnityOne AI GreenOps

Partnership Overview

UnityOne AI partnered with an AI research enterprise running GPU-intensive training and inference workloads across on-premises infrastructure, private cloud, and public cloud.

Client Challenges

GPU capacity was distributed, energy-intensive, and difficult to optimize. The client lacked workload-level visibility into utilization, power consumption, cloud cost, carbon intensity, and business criticality – making it hard to reduce GPU resource waste without affecting priority AI workloads.

Implementation Highlight

  • Unified GPU utilization, power, workload, cost, and carbon telemetry
  • Classified workloads by priority, flexibility, deadlines, and resource demand
  • Identified idle, underutilized, and oversized GPU allocations
  • Recommended carbon-aware scheduling, right-sizing, pooling, and reclamation
  • Applied policy controls, approvals, rollback, and audit trails to every action

Impact Achieved

  • Improved GPU utilization and capacity availability for priority workloads
  • Reduced avoidable energy consumption and carbon exposure
  • Balanced carbon, cost, capacity, and performance in workload decisions
  • Enabled governed optimization across data center, cloud, and Kubernetes AI environments

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See How GreenOps Moves Your Estate from Measuring Emissions to Reducing Them

Built directly into the operations console, our AI copilot lets you ask, investigate, resolve, or launch Al agents
against any incident – all from a single conversational interface.
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About UnityOne AI ™

UnityOne AI™ is an agentic intelligence platform for ITOps management, comprising CERNE™, LUMI™, and VEKTOR™. CERNE™ replaces dozens of cloud management tools by unifying DCIM, AIOps, HCMP, FinOps, and GreenOps within a single AI-driven control plane. LUMI™, the AI copilot, provides contextual intelligence, operational recommendations, and workflow automation, while VEKTOR™ enables enterprises to provision, orchestrate, and scale AI factories with the lowest cost-to-serve. The UnityOne AI™ suite enables enterprises to simplify hybrid/multicloud operations, strengthen governance, optimize resource utilization, and accelerate transformation to AI-driven ITOps.

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