AI article
Architecting memory and storage in the AI era
Publisher description: The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs rely on advanced infrastructure acting as the engine of continuous intelligence, powering real-time services while…
MIT Technology Review | Sep 4, 2026 | MIT Technology Review Insights
Automated excerpt
For business leaders, the priority is clear: AI infrastructure decisions must balance cost, flexibility, and future readiness. AI inference requires a new architectural approach Systems for AI need to be rearchitected because shoehorning modern AI systems into legacy infrastructure limits AI’s transformative potential. Inference, agentic AI, and other emerging AI use cases require organizations to treat the data center as an integrated system. AI infrastructure performance becomes a matter of reputation management. Building an AI infrastructure procurement framework Planning AI infrastructure is not simply about choosing the fastest hardware.
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