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- Supercomputing for Artificial Intelligence: F...
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Lambar abu:
211422612
Supercomputing for Artificial Intelligence: Foundations, Architectures, and Scaling Deep Learning Workloads
Lambar abu:
211422612
XAF 42893
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An shigo da shi daga kantin USA
Yi Oda yanzu, a samu nan da Alhamis, Yuli 30
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Supercomputing for Artificial Intelligence is a practical, systems-oriented guide to mastering the infrastructures, tools, and execution trade-offs involved in scaling deep learning systems.
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What Stands Out
Advanced Architectures
Explores cutting-edge architectures tailored for AI, enhancing computational efficiency and performance for deep learning applications, setting it apart from traditional computing resources.
Scalable Solutions
Provides strategies for scaling deep learning workloads, enabling researchers and developers to efficiently manage increasing data sizes and complexity, which is crucial for modern AI applications.
Comprehensive Foundations
Covers essential principles and frameworks of supercomputing for AI, equipping professionals with the foundational knowledge needed to innovate and excel in high-performance computing environments.
Bayanin samfur
| Publisher | Independently published |
| Publication date | July 30, 2025 |
| Language | English |
| Print length | 804 pages |
| ISBN-13 | 979-8319328359 |
| Item Weight | 3.1 pounds (1.41 kg) |
| Dimensions | 7.44 x 1.82 x 9.69 inches (18.9 x 4.6 x 24.6 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | January 13, 2026 |
| What is in the box | Supercomputing for Artificial Intelligence:... For more details, please check description/product details |
Who Should Buy?
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AI Researchers
Ideal for researchers focusing on enhancing deep learning techniques, requiring extensive computational resources and advanced architectures.
-
Data Scientists
Beneficial for data scientists looking to optimize their deep learning models using supercomputing strategies for large datasets.
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Graduate Students
Perfect for graduate students specializing in artificial intelligence, providing foundational knowledge of supercomputing in AI applications.
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Casual Learners
Not suitable for casual learners who want a simple introduction to AI without complex computational concepts.
KWATANCEN ABUN
Supercomputing for Artificial Intelligence: Foundations, Architectures, and Scaling Deep Learning Workloads
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi na Abokan Ciniki
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Tambaya:
Do I need a supercomputer to use this book?
Amsa: No, the book is designed to run on various systems, from single GPUs to HPC nodes. -
Tambaya:
Is this book suitable for beginners in AI?
Amsa: Yes, it provides clear explanations and is accessible for learners at all levels. -
Tambaya:
Can I access the source code and examples online?
Amsa: Yes, all source code and configuration files are available in a public GitHub repository.
Performance Optimization Editorial Review
Ba a sami sake dubawa na edita ba
Customer Reviews & Ratings
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Ribobi
- Comprehensive coverage of AI topics
- Clear explanations and examples
- Highly informative for professionals
- Well-structured for easy understanding
- Up-to-date with current trends
Fursunoni
- Some advanced sections may be challenging.
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Mohd
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“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
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“Accurate delivery timing given”
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“Not madly expensive like I thought, and much quicker than promised.”
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“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
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XAF 42893
Yi Oda yanzu, a samu nan da Alhamis, Yuli 30
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Fasaloli & Fa'idoji
- Comprehensive guide to AI supercomputing and deep learning.
- Focus on practical tools like PyTorch, CUDA, and MPI for scaling.
- Covers performance optimization and distributed training techniques.
- Field-tested content designed for students, researchers, and engineers.
- Accessible to all levels, from single GPU setups to large HPC systems.
- Includes source code and resources for hands-on learning.
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