Data is the lifeblood of AI. But in today's enterprise landscape, it's not just about having data-it's about storing it efficiently, serving it rapidly, sharing it securely, and managing it intelligently. That's where IBM Storage is stepping in with game-changing innovations. At IBM TechXchange 2025 in Orlando, I'd like to invite you to attend my Tech Talk today -- AI Data Engine β Latest Advancements, Roadmap and Use Cases from IBM Storage. Session Catalog - IBM TechXchange 2025
π AI Factory: Training at Scale
One of the headline advancements is IBM's Storage Scale System for AI Factory, a platform designed to support large-scale model training. Whether you're building foundational models or fine-tuning domain-specific agents, AI Factory provides the high-throughput, low-latency data pipelines needed to keep GPUs fed and workflows fluid. It's not just storage-it's a launchpad for intelligent systems. We also have a Scale System 6000 in display at Storage booth in the Expo.
π§ Agentic Inferencing: Smarter Data Management
IBM Storage is also pioneering agentic & AI inferencing platform based on Fusion HCI, a concept that blends AI agents with data orchestration and infrastructure management in one easy-to-deploy box. Imagine autonomous systems that not only consume data but also help manage it-tagging, organizing, and optimizing datasets in real time for AI inferencing. This shift enables enterprises to move from reactive data handling to proactive, intelligent data stewardship.
π₯ Live Demo: From Diamondback to AI Factory
A highlight of the session was a live demo showcasing how AI can manage data across the full lifecycle-from Fusion-based AI & semantic search of video stored in IBM's Diamondback deep archive system to retrieving and staging the data into AI Factory. The demo illustrated how metadata tagging, intelligent tiering, and real-time optimization can be automated using AI while linking together all data, AI and hybrid cloud platforms. It was a compelling look at how IBM's infrastructure supports seamless transitions from raw data to refined insights, all while maintaining performance and security.
π Why It Matters
AI is no longer a lab experiment-it's a business imperative. But without the right data engine, even the most sophisticated models can stall. IBM's latest advancements show a clear path forward: one where storage isn't just a backend utility, but a strategic enabler of intelligent platforms. If you're building AI at scale, IBM Storage might just be your most important ally.
Welcome you to TechXhange Sandbox 292 for the Tech Talk at 3:30pm today.
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Frank Lee
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