Equitus and KGNN can leverage the core strengths of the IBM Power platform and the Equitus KGNN solution. The marketing strategy should focus on the concept of "Intelligent Longevity"—extending the life of existing Power 10 assets while simultaneously preparing for the Power 11 transition.
Core Marketing Message: Intelligent Longevity: Maximize Power 10 ROI and Accelerate the Power 11 Transition with Equitus KGNN.
Target Persona: Enterprise CIOs, CTOs, and Data Center Directors running mission-critical workloads on IBM Power 10 who are under pressure to:
Reduce OpEx/CapEx for growing AI/ML workloads (currently offloaded to expensive x86 cloud).
Optimize data center energy consumption and meet sustainability goals.
Ensure a low-risk, high-value path to the next generation of Power (Power 11).
Key Marketing Pillars and Value Propositions
1. Decouple AI from Hyperscaler Costs (Extending Power 10 Life)
The most costly part of a hybrid strategy is the massive CapEx and OpEx associated with feeding AI models with data in the cloud. Equitus KGNN on Power 10 solves this today.
| Value Proposition | How Equitus KGNN Delivers | IBM Power 10/Cost Benefit |
| GPU-Free AI/ML | KGNN is specifically optimized to run high-performance AI inference and RAG pipelines using the Matrix Math Accelerators (MMAs) built into every Power 10 core. | Maximizes Sunk Cost: Eliminates the need to purchase dedicated, power-hungry x86 GPU servers or incur high egress and compute fees from hyperscalers. Dramatically extends the useful life of your Power 10 fleet. |
| Automated ETL for AI | KGNN's platform automates the ingestion, cleaning, unification, and semantic contextualization of your disparate data sources (AIX, IBM i, Linux, x86). It creates an AI-ready Knowledge Graph in place. | Reduces Operational Overhead: Eliminates manual data wrangling and complex, expensive ETL processes, lowering staff costs and accelerating the time-to-value for new AI projects. |
| Data Gravity & Security | By processing AI inference on the Power 10 where the mission-critical data resides, data never leaves your trusted, on-premises security perimeter. | Low Latency & Compliance: Reduces network and egress latency, enabling real-time decisions, while fully leveraging Power 10's pervasive encryption and security features. |
2. Future-Proofing for Power 11 (Enhanced Compute Bridge)
The Power 10 investment becomes a stepping stone, not a dead end, by preparing data and workflows for the next generation of compute.
| Value Proposition | How Equitus KGNN & Power 11 Align | Power 11 Transition Benefit |
| Seamless AI Compute Scaling | KGNN creates a unified, schema-less Knowledge Graph layer that decouples the AI model from the underlying hardware. This architecture allows AI workloads to be effortlessly moved. | Accelerated Migration: The same KGNN models optimized on Power 10's MMAs will be immediately ready to leverage Power 11's enhanced MMAs and the new Spyre Accelerator, ensuring a smooth, high-performance transition with minimal recoding. |
| Leverage New Power 11 Efficiencies | The intelligent, unified data layer created by KGNN is perfectly positioned to benefit from Power 11's improvements in "Efficient IT" and the new Energy Efficient Mode (up to 28% better efficiency). | Simplified Workload Movement: Reduces the risk and complexity of a new hardware rollout. You get immediate workload and data readiness to exploit Power 11's core-for-core performance gains (up to 22% better core performance over P10) and its features like Zero Planned Downtime. |
3. Energy Savings and BESS Optimization (The Green Data Center)
Frame the technology as a solution for both cost reduction and corporate sustainability mandates.
| Value Proposition | How Equitus KGNN Optimizes Energy | Energy/Sustainability Benefit |
| Data-Driven BESS ROI | KGNN's advanced analytics can ingest and correlate real-time data from server load, data center PUE, local energy pricing, and grid conditions. This informs a sophisticated AI strategy for your BESS. | Maximize Utility Savings: Use the intelligent KGNN-driven system to perform predictive peak shaving—charging the BESS during low-cost, off-peak hours and discharging it during high-cost peak hours. This dramatically lowers energy bills and increases grid resilience. |
| Higher Performance/Watt | By shifting computationally intensive AI inferencing from x86 GPUs to the highly efficient Power MMAs (both 10 and 11), the overall energy draw per unit of AI work drops significantly. | Lower Cooling Costs: Less energy consumed by compute means less heat generated, which directly reduces the largest portion of OpEx after the hardware itself—the cooling system. This is a direct, measurable reduction in PUE. |
Call to Action
"Don't wait for your Power 10 servers to expire. Transform them into an intelligent AI engine today. Contact Equitus.us for a complimentary TCO analysis to quantify your savings from automated ETL, GPU-free AI, and BESS optimization, proving your path to Power 11 is not just an upgrade, but a leap in efficiency."
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