Accelerating AI on a Purpose-Built Platform

 

Accelerating AI on a Purpose-Built Platform

The main benefit of Equitus KGNN (KoGen) — its ability to reduce ETL costs through automated ingestion and structuring—is a perfect fit for IBM Power11 users due to the synergy between the two platforms. This synergy helps Power11 users gain a significant advantage in the AI era by maximizing the platform's core strengths.

 

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IBM Power11 is specifically designed for high-performance AI and mission-critical workloads. It features a built-in Matrix Math Accelerator (MMA) and will soon support the IBM Spyre Accelerator, both of which are tailored for AI inference. These on-chip AI capabilities, however, require a continuous stream of clean, structured data to be effective.

Here's how KGNN's automated ingestion helps IBM Power11 users:

• Fuels the On-Chip AI: KGNN automatically ingests and prepares data from disparate sources, creating an AI-ready knowledge graph. This eliminates the manual and time-consuming process of data preparation, allowing the powerful Power11 processors to immediately begin performing inference and analytics on the data. Without KGNN, a user would have to manually clean, label, and structure their data before they could even begin to use the powerful AI features of their Power11 server.

• Maximizes Performance and Efficiency: KGNN is specifically optimized to run natively on IBM Power architectures. This means it can take full advantage of Power11's architecture to deliver superior performance and energy efficiency without needing separate GPUs or cloud services. This native optimization allows for low latency, which is critical for real-time analytics and AI applications in industries like finance, manufacturing, and defense.

• Unifying Legacy and Modern Systems: Many IBM Power users, especially those in finance and government, rely on legacy systems like IBM i and AIX. KGNN's ability to unify data from these older systems with modern sources, like unstructured documents and IoT data, is a major benefit. It creates a cohesive view of an organization's entire data landscape, allowing users to run advanced analytics and AI on data that was previously siloed and inaccessible.

• Enhancing Explainability and Security: IBM Power11 is renowned for its enterprise-class reliability and security, including quantum-safe cryptography and Power Cyber Vault for ransomware protection. KGNN complements this by providing full data provenance and AI explainability. This combination ensures that not only is the data secure at the hardware level, but the insights derived from AI models are also transparent and auditable, which is essential for regulated industries.