Unlock the full potential of your AI systems with AI Systems Performance Engineering, a comprehensive guide designed for engineers, researchers, and developers. This book offers practical strategies to optimize hardware, software, and algorithms, ensuring your AI infrastructure is resilient, scalable, and cost-effective. Authored by Chris Fregly, a leader in performance engineering, it simplifies the process of transforming complex AI systems into efficient, high-impact solutions.

Why You Should Read?

• Gain hands-on strategies for co-optimizing hardware, software, and algorithms to enhance AI performance.
• Learn cutting-edge inference techniques to reduce latency and increase throughput in real-world applications.
• Access a 175+-item checklist of proven optimizations for immediate implementation.
• Discover industry-leading tools and frameworks for scaling GPU clusters and distributed model training.