Hands-on AI Networking : Understand architecture, automation, case studies, and explore future trends (English Edition)
Description The building blocks of any large-scale distributed system such as an AI cluster are compute, storage, and network. The network infrastructure connects all the components enabling data transfer, communication, and coordination between compute nodes, storage devices, and AI applications. T...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| オンライン･アクセス: | Accès Université d'Orléans et IFPM |
| 注記: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365898460.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hands-on AI Networking, Understand architecture, automation, case studies, and explore future trends (English Edition), Shankar Ramanathan, New Delhi, BPB Publications, 2025, 1 vol. (416 p.), 978-93-6589-846-0 |
目次:
- 1. Introduction to Networking for Artificial Intelligence
- 2. Networking Fundamentals as Essential Building Blocks
- 3. Data Centers, Edge and High-speed Interconnects
- 4. Networking Protocols for AI/ML
- 5. Engineering the End-to-end Network Infrastructure
- 6. Network Automation for AI/ML Workloads
- 7. Reliability and Security in AI/ML Networks
- 8. Case Studies and Real-world Applications
- 9. Future Trends in Networking for AI/ML
- 10. Symbiotic Future of Networking and AI