ibm/equitus

 Cloudlake, which leverages Equitus.us's Knowledge Graph Neural Network (KGNN), can work with IBM Power11 clients by providing a robust, on-premise solution for unifying disparate data sources and creating a foundation for advanced AI and analytics. This partnership is particularly powerful because Power11 is optimized for AI workloads, and Equitus KGNN is a native fit for the Power architecture.

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🤝 How It Works for IBM Power11 Clients

The synergy between Cloudlake/Equitus KGNN and IBM Power11 is based on their complementary strengths:

• Data Unification: IBM Power clients often have large, complex data environments that include structured data from traditional databases, unstructured data from documents, and real-time data from various applications. Cloudlake, powered by Equitus KGNN, can ingest all of this fragmented data. It then automatically identifies relationships, links entities, and creates a knowledge graph.¹ This graph acts as a single, contextualized source of truth, eliminating the need for complex, manual data pipelines (ETL).² This is a key benefit, as it speeds up the "data prep" phase for any analytics or AI project.

• Native AI Acceleration: IBM Power11 servers are designed with built-in AI acceleration capabilities, including the new IBM Spyre Accelerator.³ Equitus KGNN runs natively on this architecture, allowing for high-performance deep learning and inference without the need for expensive GPUs or reliance on external cloud platforms. This is a significant advantage for Power11 clients, who can run sophisticated AI workloads on-premise, maintaining full data control and security.

• Hybrid Cloud and On-Premise Agility: IBM's Power platform, including Power11, is built for hybrid cloud environments.⁴ Cloudlake and Equitus KGNN complement this by providing a solution that can be deployed on-premise, at the edge, or in a hybrid setup. This gives clients the flexibility to keep sensitive data and mission-critical applications on their Power systems, while still being able to connect to cloud services as needed. This is crucial for industries with strict data sovereignty and security requirements.

• Accelerating Time-to-Insight: By creating a unified, AI-ready data foundation, Cloudlake helps Power11 clients unlock the value of their data much faster. The knowledge graph makes data semantically rich, meaning it's not just a collection of isolated facts but a network of interconnected information. This enables more accurate federated queries, empowers real-time insights for business intelligence (BI), and provides the necessary context for large language models (LLMs) and other AI applications to deliver actionable intelligence.⁵