New AI DC Service

Posted on by lechuck park

The provided infographic visually explains a new business model where data center resources are used and billed flexibly, much like cloud computing.

At the top, the main headline reads, “The Future of Data Centers: Use and Pay Like the Cloud,” accompanied by a subheadline introducing an “On-Demand Power & Cooling Control and As-a-Service Pay-As-You-Go Model”.

On the left side, the graphic illustrates a user’s hand interacting with an “API Control UI” on a tablet device, featuring toggle switches for “POWER” and “COOLING”. This interface connects via a “DATA STREAM” to both “Your Datacenter,” depicted by colorful server racks, and a “Virtual Dashboard” displaying performance graphs.

The right side details the four core features of this service:

  • 01. Dynamic Power Bursting: Represented by a lightning bolt icon, it explains that users can temporarily raise their power limits via API when needed. It allows flexible scaling of per-rack power during heavy AI training or complex compute workloads, ensuring users only pay for what they use.
  • 02. Custom Cooling / Thermal SLA: Denoted by a thermometer icon, this feature allows users to directly control liquid cooling (DLC) flow rates and temperatures via software. It enables lower temperatures during high-performance runs and saves energy during standard operations.
  • 03. Pay-As-You-Go Billing: Illustrated with an invoice and coins, it highlights the ability to lighten fixed contract rent. Users pay proportionally for the exact amount of power and cooling consumed and receive credits (incentives) back when they reduce loads during off-peak hours.
  • 04. Safety Guardrails: Shown with a shield and lock icon, this point emphasizes uncompromised safety. Even when tenants hold control, the data center’s core facility and infrastructure remain fully protected 24/7 by failsafe hardware override boundaries.

At the bottom, the graphic concludes with the slogan, “Now, freely adjust your data center’s energy and temperature to fit your business,” and identifies the system as a “[ Landlord – Tenant Collaboration Platform ]”.

Summary
This image serves as an advertisement-style infographic showcasing an innovative “As-a-Service” infrastructure model, where data center tenants can independently control their power and cooling resources via APIs, pay strictly based on their actual consumption, and operate safely within strict hardware boundaries.

#DataCenter #CloudBilling #PayAsYouGo #PowerBursting #LiquidCooling #InfrastructureControl #SafetyGuardrails #AIOps

With Gemini

Telemetry Data Collaboration

Posted on by lechuck park

1. Infographic Overview & Top Architecture

  • Headline: “Data Center Landlord – Tenant Collaboration: 5 Reasons Real-Time Telemetry Data Collaboration is Essential”
  • System Flow Diagram:
    • Illustrates a high-level data pipeline where the Data Center Building (Landlord OT) and the Server Racks / Users (Tenant IT) are seamlessly connected through a bidirectional DATA STREAM, symbolizing the critical bridge between OT infrastructure and enterprise IT systems.

2. Breakdown of the 5 Core Collaboration Areas

01. Real-Time Incident Response & Coordinated Load Shedding

  • Visual Icon: Warning sign and high-voltage transmission tower
  • Key Concept: Real-time alert sharing during thermal or power abnormalities enables mutual load shedding, safeguarding the facility from full-scale building blackouts and critical downtime.

02. Power Efficiency (PUE/WUE) Optimization & Workload Profiling

  • Visual Icon: Energy bolt and an ascending performance bar chart
  • Key Concept: Environmental telemetry empowers tenants to pinpoint power-wasting hotspots and dynamically rebalance compute workloads, maximizing performance per watt and lowering utility costs.

03. Regulatory Compliance & Environmental/Emissions Reporting

  • Visual Icon: Globe, legal gavel, and compliance documentation
  • Key Concept: Addressing worldwide ESG and sustainability mandates by synchronizing reporting metrics, including PUE, WUE, backup generator runtimes, fuel consumption, and greenhouse gas emissions.

04. Crossing Trust Boundaries & Zero Trust Data Exchange

  • Visual Icon: Secure lock, network telemetry nodes, and firewall barrier
  • Key Concept: Mitigates lateral traversal and network vulnerability risks across OT/IT trust boundaries using unidirectional data diodes, DMZ message brokers (e.g., Kafka), and mTLS-encrypted API gateways.

05. Landlord-Tenant Standard API Integration (Appendix A)

  • Visual Icon: API gear, bidirectional synchronization arrows, and service clipboard
  • Key Concept: Formalizes standard APIs to automate operational service requests, case notes, documentation exchanges, and physical access badge provisioning with an audit-ready workflow.

3. Bottom Slogan

  • “Essential Data Connectivity for Sustainable and Secure Data Center Growth”
    • Underscores that bridging the information gap between facility operators and tenants is a prerequisite for resilient and energy-conscious infrastructure scalability.

4. Summary

This infographic systematically visualizes why modern data centers require real-time telemetry sharing across the facility operator (OT) and enterprise tenant (IT) boundary. By deploying Zero Trust secure architectures, facilities can execute coordinated emergency load shedding, optimize energy efficiency (PUE/WUE), comply with environmental regulations, and standardize day-to-day operational API integrations.

#DataCenter #Telemetry #LandlordTenant #LoadShedding #PUE #WUE #ZeroTrust #OTSecurity #InfrastructureManagement #AIOps #Sustainability

With Gemini

(OCP) Third Party Integration, Telemetry & APIs

Posted on by lechuck park

This infographic, titled “Third Party Integration, Telemetry & APIs,” outlines a four-pillar framework for establishing secure, efficient, and standardized real-time data integration between IT and OT systems in facility and data center environments.

https://www.opencompute.org/documents/third-party-integration-telemetry-apis-final-pdf/

Detailed Image Breakdown

  1. Real-Time Telemetry Drives Operational Efficiency
    • Visuals: Speedometer gauge labeled “OPTIMIZATION” and a microchip connected to a gear and power plug.
    • Description: Automated collection of thermal and power metrics enables optimization of PUE (Power Usage Effectiveness) and WUE (Water Usage Effectiveness), along with proactive fault detection.
  2. Bridging the Sensitive IT/OT Security Boundary
    • Visuals: OT facility buildings (BMS/PMS), a central bridge structure, and tenant IT cloud networks.
    • Description: Facility Operational Technology (OT) systems—such as BMS and PMS—must safely exchange real-time telemetry with tenant IT networks without compromising perimeter security.
  3. Enforcing Zero Trust Data Exchange
    • Visuals: A secure shield lock, mTLS encryption keys, Open API connectors, and DMZ-isolated server brokers.
    • Description: Secure communication channels require mutual TLS (mTLS) encryption, open standard APIs (MQTT, REST, Redfish), and DMZ-isolated message brokers.
  4. Call for Unified Industry Telemetry Standards
    • Visuals: Standardized documentation with a global seal, a continuous lifecycle loop (Standardize Architectures $\rightarrow$ Data Schemas $\rightarrow$ Auditability Logging), and an upward trend chart labeled “SCALABLE EFFICIENCY”.
    • Description: To achieve scalable efficiency, stakeholders across the industry must unify architectures, data schemas, and auditability logging standards.

Summary

Integrating real-time telemetry across the IT/OT divide is critical for optimizing facility resource efficiency (PUE/WUE). Doing so at scale requires implementing strict Zero Trust controls (mTLS, DMZ brokers, open APIs) alongside unified industry standards for data schemas, system architectures, and audit logging.

#DataCenter #Telemetry #ZeroTrust #OTSecurity #ITOTConvergence #BMS #PUE #OpenAPI #DataCenterInfrastructure #Cybersecurity #IndustrialIoT

With Gemini