CLOUDLAKE for IBM/SAP

CloudLake.ai and Equitus.ai ArcXA (XA) creates a high-performance, semantically aware framework for migrating and governing SAP environments on IBM Power 10/11.

By leveraging Equitus.ai’s triple store architecture (Knowledge Graph Neural Networks or KGNN) and CloudLake’s migration orchestration, organizations can map complex dependencies that traditional relational databases miss.

Human in the Loop Support Packages available, with a $10,000 services credit for registering your entity and initiating a Migration Readiness Assessment (MRA)

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1. Triple Store Architecture for Governance Mapping

The core of Equitus.ai ArcXA is its triplestore (Subject-Predicate-Object) model. Unlike standard databases, it treats every piece of metadata as a node in a graph.

• Semantic Mapping: It creates a "Source-to-Target" map where every SAP customization, table relationship, and legacy process is linked.

• Regulatory Lineage: For SAP Rise, it maps compliance controls (GDPR, SOC2) directly to the technical assets on IBM Power Virtual Servers. This allows for "Continuous Compliance" during the migration—if a data object moves, its governance rules move with it automatically.

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2. Hybrid-Multi Cloud Migration Strategy

CloudLake.ai acts as the orchestrator, while ArcXA provides the "brain" for the transition.

Feature	Role of Equitus.ai (ArcXA)	Role of CloudLake.ai
Discovery	Uses graph analysis to find "hidden" dependencies in legacy SAP ECC systems.	Automates ingestion of discovered data into the migration pipeline.
Optimization	Identifies redundant custom code (Clean Core) via relationship patterns.	Provisions target IBM Power 10/11 environment based on optimal sizing.
Validation	Cross-references migrated data against original "triples" to ensure integrity.	Executes actual "Big Bang" or phased data shift to the cloud.

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3. Optimizing for IBM Power 10/11

The integration is uniquely powerful on IBM Power10 and Power11 hardware due to native optimization:

• MMA (Matrix Multiply Assist): Equitus.ai’s KGNN architecture runs natively on Power10/11 MMA. This allows the governance engine to process billions of data relationships in real-time without needing external GPUs.

• Architectural Continuity: Since Power Virtual Servers (PowerVS) use the same instruction set as on-premises Power 10/11, CloudLake can perform Live Partition Mobility (LPM) or selective data migrations (Bluefield) with minimal downtime.

• AI-Ready Infrastructure: By mapping SAP data into a triple store, the data is pre-formatted for AI. When running SAP S/4HANA on Power 10/11, the ArcXA layer serves as the "Semantic Layer" for IBM Watson or SAP BTP AI services.

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4. Key Benefits of the Collaboration

• Reduced Risk: The graph architecture predicts migration "breakages" before they happen by visualizing complex inter-app dependencies.

• Faster Timelines: Automated mapping can reduce the discovery phase of a RISE with SAP project by 15–25%.

• Sovereign Governance: Because Equitus and CloudLake can run entirely on-premises or in a private PowerVS pod, sensitive SAP data remains under strict jurisdictional control.

RISE with SAP on IBM Power Virtual Server

This video provides a real-world look at how IBM migrates massive SAP landscapes to the cloud using Power Virtual Servers, highlighting the scale and complexity these architectures manage.

Are you looking to map specific regulatory frameworks like DORA or NIST into this triple store architecture for your SAP environment?