Strategic Decisions for Scalable AI Infrastructure

This whitepaper outlines five strategic decisions that enterprise leaders can make to build a scalable compute platform for artificial intelligence (AI). It begins by addressing the challenges posed by legacy infrastructure, which is often inadequate for modern AI workloads due to latency issues, power constraints, and increased complexity. The document emphasizes the importance of embracing heterogeneous compute resources to balance performance and efficiency across various environments. It also advocates for unifying the software layer to reduce fragmentation and streamline deployment processes. Futureproofing infrastructure is highlighted as essential to adapt to rapid changes in AI technologies. Lastly, the paper stresses the need to align compute strategies with broader business objectives to maximize the impact of AI investments. By following these principles, organizations can enhance their operational efficiency and better prepare for the evolving demands of AI.