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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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores
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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: 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 54,92
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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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EUR 56,20
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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, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 58,88
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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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EUR 51,28
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Condición: New.
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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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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paperback. Condición: New.
Ai Cloud Infrastructure Blueprint : Practical Designs and Configurations for Scalable Ai
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 48,32
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Condición: As New. Unread book in perfect condition.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 54,29
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Condición: New. 2026. 2nd Edition. paperback. . . . . .
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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EUR 66,93
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Condición: New.
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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EUR 61,12
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Condición: New.
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 56,17
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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 68,45
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Condición: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 72,75
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Paperback. Condición: Brand New. 2nd edition. 216 pages. 10.00x7.00x10.00 inches. In Stock.
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Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen
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EUR 41,45
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Condición: NEW.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 51,69
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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.
The AI Cloud Infrastructure Blueprint
Sairohith Thummarakoti, Santosh Kumar Vududala, Bhanuprakash Madupati, . Keshav Kaushik
- Tapa blanda
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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EUR 60,67
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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.
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 52,15
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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.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 53,12
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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.
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 51,88
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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: preigu, Osnabrück, Alemaniapreigu
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EUR 58,65
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Taschenbuch. Condición: Neu. The AI Cloud Infrastructure Blueprint | Practical Designs and Configurations for Scalable AI | . Keshav Kaushik (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041166429 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Her…sfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 49,24
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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 54,90
Envío por EUR 14,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 2nd edition. 216 pages. 10.00x7.00 inches. In Stock. This item is printed on demand.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 83,75
Envío por EUR 32,34Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
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.
