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Can I read Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI on EtoBox?
Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI by ISHNEET KAUR. PATEL DUA (PARTH GIRISH.), Parth Girish Patel is a nonfiction available to read on EtoBox.
What is Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI about?
This comprehensive guide provides practical strategies for optimizing Generative AI systems to be more sustainable and responsible. As advances in Generative AI such as large language models accelerate, optimizing these resource-intensive workloads for efficiency and alignment with human values grows increasingly urgent. The book starts with the concept of Generative AI and its wide-ranging applications, while also delving into the environmental impact of AI workloads and the growing importance of adopting sustainable AI practices. It then delves into the fundamentals of efficient AI workload management, providing insights into understanding AI workload characteristics, measuring performance, and identifying bottlenecks and inefficiencies. Hardware optimization strategies are explored in detail, covering the selection of energy-efficient hardware, leveraging specialized AI accelerators, and optimizing hardware utilization and scheduling for sustainable operations. You are also guided through software optimization techniques tailored for Generative AI, including efficient model architecture, compression, and quantization methods, and optimization of software libraries and frameworks
Who reads Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- ISHNEET KAUR. PATEL DUA (PARTH GIRISH.), Parth Girish Patel
- Publisher
- Apress L. P.
- Published
- 2024
- Language
- EN
- ISBN
- 9788868809164
- Category
- nonfiction
- Subjects
- Science, Computer Science, Artificial Intelligence (Ai)
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