Scalable Cloud Infrastructure Management

The SCIM workstream produces documents on architectures, protocols, and data models for carrying hardware management information across data center networks; analyzes existing communication mechanisms and engages standards bodies to improve them at scale; examines management challenges from new technologies such as AI/ML, RDMA, PCIe/CXL, DDR, and quantum computing; and develops predictive models linking hardware behavior to data center financial performance.

Scalable Cloud Infrastructure Management

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Steering Committee Representative

John Leung

Project Leads

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About This Workstream

The Scalable Cloud Infrastructure Management workstream will address hardware management of large data centers (100,000 nodes or more), creating documents in the following areas:

  • Architectures, protocols, and data models that communicate hardware management information across data center networks;
  • Analysis of existing communication mechanisms and interacting with standards bodies to improve the effectiveness of those mechanisms for hardware management at data center scale;
  • Management challenges associated with new technologies (e.g. AI/ML, RDMA, PCIe/CXL, DDR, quantum computing); and
  • Predictive models that forecast how anticipated aspects of hardware systems affect the financial performance of the data center.

This workstream was originally formed under the Future Technologies Initiative in 2019. In 2023, the workstream became the Cloud Service Model (CSM) workstream within the Hardware Management Project. In 2025, it was renamed to Scalable Cloud Infrastructure Management (SCIM) workstream, remaining within the Hardware Management Project.

Scope

The Scalable Cloud Infrastructure Management Sub-Project addresses hardware management of large data centers (100,000 nodes or more), creating documents in the following areas:

  • Architectures & Data Models : architectures, protocols, and data models that communicate hardware management information across data center networks
  • Standards Engagement : analysis of existing communication mechanisms and interaction with standards bodies to improve their effectiveness for hardware management at data center scale
  • New Technologies : management challenges associated with new technologies (e.g. AI/ML, RDMA, PCIe/CXL, DDR, quantum computing)
  • Predictive Models : predictive models that forecast how anticipated aspects of hardware systems affect the financial performance of the data center

Workstream drive:

Work In Progress (unpublished)

Published presentations

YearVenueTitle
2024OCP Global SummitApplying Model-based SystemsEngineering to Data Center Lifecycleslides
2024Regional Summit LisbonLifecycle Managementslides
2023OCP Global SummitDe-mystifying In-Band/Out-of-Band methodsslides
2023OCP Global SummitPanel: OCP framework for utilizing ML/AI for at scale fleet managementslides
2023OCP Global SummitLifecycle at scaleslides
2023Tech TalksIntroduction to CSMslides
2023Tech TalksTelemetry Data Sharing Updateslides
2022OCP Global SummitCSM Updatesslides
2022OCP Global SummitSatellite Management Controller for Storage Devicesslides
2022OCP Global SummitInband Management Agentslides
2022OCP Global SummitTelemetry Data Sharingslides
2021FTI Kickoff WebinarIntroductionVideo, Slides

Past Calls

DateRecordingAI Summary (raw)
Sept 11, 2026herehere
Aug 14, 2026herehere
Jul 17, 2026herehere
Jun 19, 2026herehere
Jun 5, 2026herehere
May 22, 2026herehere
May 8, 2026herehere
Apr 24, 2026herehere
Apr 10, 2026herehere
Mar 27, 2026herehere
Feb 13, 2026herehere
Jan 16, 2026herehere
Dec 12, 2025herehere
Nov 14, 2025lost 🙁here
Oct 31, 2025herehere
Oct 17, 2025herehere
Oct 3, 2025herehere
Sept 5, 2025herehere
Aug 22, 2025herehere
Aug 8, 2025herehere
July 25, 2025herehere
July 11, 2025herehere
June 27, 2025herehere
June 13, 2025herehere
May 30, 2025herehere
May 16, 2025herehere
May 02, 2025herehere
Apr 04, 2025herehere

Scalable Cloud Infrastructure Management calendar