high-level overview of a potential blueprint and the key components you might want to consider. This can serve as a starting point for your discussions with Wallaroo and TD Synnex.
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High-Level Blueprint for Delivering KGNN on Wallaroo PIM
This blueprint outlines a potential strategy for integrating the KGNN (Knowledge Graph Neural Network) with the Wallaroo PIM (Power Inference Microservice) to target IBM AIX and IBM I customers.
1. Strategic Alignment and Business Case
Problem: IBM AIX and IBM i customers lack the skills and infrastructure to run modern AI workloads, which are typically RHEL-based. This creates a barrier to adoption for technologies like KGNN.
Solution: The Wallaroo PIM provides a "one-click" solution to deploy a RHEL LPAR (Logical Partition) and the necessary software stack, including the KGNN. This removes the technical barrier and aligns with IBM's modernization play.
Value Proposition:
For Customers: Simplified deployment of complex AI workloads without requiring new RHEL skills. This allows them to leverage their existing IBM infrastructure.
For Wallaroo: Expands their market reach to a new segment of enterprise customers.
For KGNN: Provides a clear path to market for a critical customer base.
For TD Synnex: Offers a complete, packaged solution for their resellers to sell to a specific and lucrative market.
2. Architectural and Technical Blueprint
This section outlines the technical components and their interactions.
Wallaroo PIM: This is the core of the solution. It is responsible for:
Provisioning and managing the RHEL LPAR on the IBM AIX/i system.
Deploying the necessary software stack, including the KGNN.
Providing a simplified interface ("easy button") for launching the entire environment.
KGNN (Knowledge Graph Neural Network): This is the application layer. It is responsible for:
Ingesting data and building a knowledge graph.
Running inference and other AI workloads.
Communicating with the Wallaroo PIM for resource management and deployment.
Integration Points:
PIM-KGNN API: A well-defined API that allows the PIM to deploy, manage, and monitor the KGNN. This is a critical component for the "easy button" experience.
PIM-IBM System APIs: The PIM must be able to interact with IBM's systems to provision the LPAR and other resources. This would involve APIs for virtualization management.
3. Go-to-Market Strategy with TD Synnex
This section focuses on how to enable TD Synnex and their resellers.
Enablement Program:
Sales Training: Develop sales materials that highlight the business value and address common customer objections.
Technical Training: Provide technical training and documentation for the TD Synnex engineering teams and resellers.
Demo Environment: Create a working demo environment that resellers can use to showcase the solution to customers.
Packaged Solution:
The entire solution (Wallaroo PIM + KGNN) should be packaged as a single SKU (Stock Keeping Unit) that is easy for resellers to sell.
This package would include the necessary licenses, support contracts, and professional services.
Targeting:
Focus on key IBM i and AIX customer segments that have a clear need for AI modernization.
Leverage existing relationships with IBM and TD Synnex to identify key accounts.
This blueprint provides a framework for discussion with your partners. It defines the problem, the proposed solution, the technical architecture, and the go-to-market strategy. It's a "license to hunt" because it gives all parties a clear understanding of the opportunity and their role in it.
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