This e-book is your essential roadmap to navigating the complexities of AI infrastructure in today’s rapidly evolving technology landscape. Tailored for IT leaders embarking on their AI journey, this guide demystifies how AI use cases directly shape performance measurement and infrastructure optimization.
AI workloads demand infrastructure that delivers high-performance, reliability, and efficiency. But how do you determine whether your infrastructure can meet the demands of your specific AI use case?
This e-book explores:
● The Role of Use Cases in Performance Measurement: Understand how different AI applications drive unique infrastructure requirements.
● Key Metrics for AI Inference: Learn what to measure — latency, throughput, energy efficiency, and more — to ensure success.
● Best Practices for Optimizing Infrastructure: Get actionable strategies to align your technology stack with your business goals.
With insights, frameworks, and examples, The IT Leader’s Guide to AI Inference and Performance equips you with the knowledge to evaluate, deploy, and scale AI solutions effectively — making it a must-read for decision-makers who want to lead with confidence in the AI era.
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