PowerGraph - a single, highly secure, and performance-optimized "financial core" for mission-critical enterprise AI.
The inclusion of both IBM Power 10/11 and the z/OS environment (running on IBM Z mainframes with Spyre acceleration) suggests a solution that bridges modern, scale-out AI with the world's most reliable system for high-volume transactions and core financial data.
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PowerGraph breakdown of how the components combine to form this template/platform:
1. The Core Data Layer: Equitus KGNN (The Context Engine)
The Equitus Knowledge Graph Neural Network (KGNN) acts as the semantic layer that makes all enterprise data "AI-ready."
Data Unification: It automatically ingests and unifies fragmented data (both structured and unstructured) from diverse sources, including data residing on the z/OS mainframe, open systems on Power, and hybrid cloud sources.
Context and Relationships: It transforms this raw data into an interconnected Knowledge Graph, which is crucial in finance for tasks like discovering hidden relationships in fraud networks or mapping complex regulatory compliance requirements.
RAG Backbone: As an advanced Retrieval-Augmented Generation (RAG) engine, KGNN provides the accurate, traceable, and explainable context required to ground the generative AI models (like Granite) in enterprise facts.
2. The Transactional & AI Infrastructure: IBM Z/z/OS and Power 10/11
The PowerGraph platform is designed to run across two of IBM's most powerful enterprise platforms (Z, Power 10/11), leveraging their respective strengths:
| Component | Role in the Financial Core | Key Advantage |
| IBM Z with z/OS | Core Transaction Processing & Data: Runs the mission-critical core banking applications (CICS, IMS) and holds massive volumes of core financial data. | Unmatched Security & Reliability: Handles up to 70% of the world's transactions with 99.9999% availability and integrates security features like the |
| IBM Power 10/11 | Scale-Out Analytics & Open Source AI: Hosts the Equitus KGNN platform itself, along with open-source AI frameworks (running on Linux/Red Hat OpenShift) and large-scale data lake solutions. | High-Performance AI & Flexibility: Provides integrated Matrix Math Accelerator (MMA) engines and high-bandwidth memory, allowing for energy-efficient, rapid AI inferencing outside of the mainframe. |
3. The Acceleration Engine: Spyre Chips
The IBM Spyre Accelerator is the key technology that brings Generative AI to both systems without compromising performance or security.
In-Transaction AI (z/OS): Spyre is available on IBM Z mainframes (like the z17) to perform low-latency inferencing at the speed of a transaction. This is essential for real-time
fraud detection Scale-Out Generative AI (Power11): Spyre is also available for
Power11 servers
4. The Intelligence: Granite 4 (The Reasoning Engine)
The IBM Granite 4.0 Large Language Models (LLMs) provide the generative and reasoning capabilities.
Agentic Workflows: Granite models are used to create sophisticated AI agents that can reason, follow instructions, and interact with the core systems. For example, a compliance agent can query the KGNN for regulatory context, retrieve a related COBOL program via
z/OS Connect Efficiency and Trust: Granite 4.0's hybrid architecture is designed for efficiency and is
ISO 42001 certified
The "Financial Core" Template for Enterprise Deployment
The PowerGraph template creates a fully integrated, Hybrid Core for the financial enterprise:
AI Control Plane (MLops): Equitus KGNN serves as the "brain," providing semantic context and RAG for all AI models.
Zero-Trust Foundation: Both IBM Z and Power systems enforce security, resilience (e.g.,
zero planned downtime Real-Time Action: Spyre acceleration enables Granite models to act and reason instantly, whether it's within a z/OS transaction or on a large-scale Power analytics cluster.
The PowerGraph platform is positioned to be the ultimate architecture for financial institutions that want to adopt the most advanced AI while maintaining the security and reliability of their legacy mission-critical systems.
Would you like to focus on a specific application, like AI-driven compliance or real-time fraud detection, to see the workflow in detail?
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