9781041166429 - the ai cloud infrastructure blueprint: practical designs and configurations for scalable ai de thummarakoti, sairohith; vududala, santosh kumar; madupati, bhanuprakash; kaushik, dr. keshav (28 resultados)
Ai Cloud Infrastructure Blueprint : Practical Designs and Configurations for Scalable Ai
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Ai Cloud Infrastructure Blueprint : Practical Designs and Configurations for Scalable Ai
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Paperback or Softback. Condición: New. The AI Cloud Infrastructure Blueprint: Practical Designs and Configurations for Scalable AI. Book.
The AI Cloud Infrastructure Blueprint
Sairohith Thummarakoti, Santosh Kumar Vududala, Bhanuprakash Madupati, . Keshav Kaushik
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Paperback. Condición: New. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectu…res that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.
The AI Cloud Infrastructure Blueprint
Sairohith Thummarakoti, Santosh Kumar Vududala, Bhanuprakash Madupati, . Keshav Kaushik
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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EUR 61,00
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Paperback. Condición: New. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectu…res that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.
The AI Cloud Infrastructure Blueprint: Practical Designs and Configurations for Scalable AI
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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The AI Cloud Infrastructure Blueprint: Practical Designs and Configurations for Scalable AI
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 61,33
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Ai Cloud Infrastructure Blueprint : Practical Designs and Configurations for Scalable Ai
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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paperback. Condición: New.
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Condición: New. 2026. 2nd Edition. paperback. . . . . .
Ai Cloud Infrastructure Blueprint : Practical Designs and Configurations for Scalable Ai
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
The AI Cloud Infrastructure Blueprint: Practical Designs and Configurations for Scalable AI
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Condición: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.
The AI Cloud Infrastructure Blueprint: Practical Designs and Configurations for Scalable AI
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 2nd edition. 216 pages. 10.00x7.00x10.00 inches. In Stock.
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Paperback. Condición: new. Paperback. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native… architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
AI Cloud Infrastructure Blueprint
Sairohith Thummarakoti|Santosh Kumar Vududala|Bhanuprakash Madupati|Dr. Keshav Kaushik
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Librería: moluna, Greven, Alemaniamoluna
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EUR 54,68
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Condición: New. Sairohith Thummarakoti is a lead architect, researcher, and multi-book author with expertise in Pega Business Process Management (BPM), AI-powered cloud infrastructure, engineering excellence, and enterprise technology. With over a decad.
The AI Cloud Infrastructure Blueprint
Sairohith Thummarakoti, Santosh Kumar Vududala, Bhanuprakash Madupati, . Keshav Kaushik
- Tapa blanda
Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United
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EUR 63,01
Envío por EUR 43,15Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: New. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectu…res that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Neuware - This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-nativ…e architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. The AI Cloud Infrastructure Blueprint | Practical Designs and Configurations for Scalable AI | Sairohith Thummarakoti (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041166429 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 B…ad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
The AI Cloud Infrastructure Blueprint
Sairohith Thummarakoti, Santosh Kumar Vududala, Bhanuprakash Madupati, . Keshav Kaushik
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 56,44
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Paperback. Condición: New. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectu…res that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 62,28
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Paperback. Condición: new. Paperback. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native… architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 57,97
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Paperback. Condición: Brand New. 2nd edition. 216 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 82,23
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Paperback. Condición: new. Paperback. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native… architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud. This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
