Kinetic AI.DCOps
Section Title
Overview

Cobot-assisted data center operations

Kinetic AI.DCOps is a data center operations solution that combines AI-powered robot-based automation with teleoperated, human-in-the-loop assurance to achieve unprecedented efficiency, consistency and cost-effectiveness.

The solution enables seamless cooperation between humans and robots to streamline physical and digital tasks like server reboots, fault detection, hot-swap drive replacement and documenting, leveraging a simulation-first approach for vastly improved visibility and continuous optimization with digital twins and industrial metaverse features.

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Overview
Benefits

Kinetic AI.DCOps Benefits

Reduction in downtime and mean time to repair

Reduction in downtime and mean time to repair

Automatically and proactively execute routine physical tasks with speed and precision, 24/7

Operational cost savings

Operational cost savings

Reduce the need for constant, costly on-site human staffing and minimize errors with virtual environment pre-testing

Enhanced operational visibility and predictive maintenance

Enhanced operational visibility and predictive maintenance

Unlock a holistic real-time view of operations and use load and failure scenario simulation to predict equipment degradation and bottleneck

Higher-value human work

Higher-value human work

Enhance technician productivity with robotic assistance for physical intervention and free them up to focus on complex problem-solving, strategy and innovation

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Services

DCOps core

  • Data Center design and build
  • Lights-out/autonomous operations
  • Data center efficiency improvement
  • Data center sustainability
  • Data center reliability and sustainability

Advanced DCIM

  • Predictive maintenance
  • Thermal risk management
  • ESG reporting

What-if simulation

  • Physics-based (space, airflow, power, cooling)
  • Resiliency testing
  • IT network/load configuration

AI-powered optimization

  • Cooling
  • Capacity
  • Network

XR integration

  • Immersive training
  • Remote assistance

EDA constructs

  • Data center visualization
  • Network simulations
  • Connectivity, cable and asset modeling
  • Power system design
  • Computational fluid dynamics
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Features

Future-ready

AI-led inspections and actions across on-prem infrastructure

Human-aware

Remote Intervention with safety-critical collaboration

Fully integrated

Designed to plug into existing DCIM, ITSM and ops workflows

Autonomous inspections

AI-powered robotic agents inspect assets and update digital twins

Remote hands and teleoperation

Human-in-the-loop interventions

AI-led action

Vision-language-action models interpret instructions

Simulation-first

NVIDIA Omniverse-based fast-tracked AI and hardware training

Fleet management

APIs integrated with DCIM/ITSM/OpenRMF

Collaboration layer

Real-time robotic assistance for technicians with physical and digital tasks

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