About the Author
Chris Fregly
ISBN 9789368087298
Rs. 6,920
O'Reilly Media
AI Systems Performance Engineering
Who it's for: Engineers, researchers, and developers working on AI systems
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.
Highlights
- Strategies for co-optimizing hardware, software, and algorithms
- Inference techniques to reduce latency and increase throughput
- 175+-item checklist of proven optimizations
- Tools and frameworks for scaling GPU clusters and distributed training
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Sign inQuestions about this book
What does this book cover?
It covers practical strategies to optimize hardware, software, and algorithms for AI systems, including inference techniques and scaling GPU clusters.
Who is the author?
Chris Fregly, described as a leader in performance engineering.
Is there a checklist of optimizations?
Yes, it includes a 175+-item checklist of proven optimizations for immediate implementation.
What is the book's focus?
It focuses on making AI infrastructure resilient, scalable, and cost-effective through performance engineering.