9781041166436 - the ai cloud infrastructure blueprint: practical designs and configurations for scalable ai de thummarakoti, sairohith; vududala, santosh kumar; madupati, bhanuprakash; kaushik, dr. keshav (15 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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EUR 206,79
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The AI Cloud Infrastructure Blueprint
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 212,83
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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
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 213,65
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Condición: As New. Unread book in perfect condition.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 226,88
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HRD. 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
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 216,00
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Condición: As New. Unread book in perfect condition.
Ai Cloud Infrastructure Blueprint : Practical Designs and Configurations for Scalable Ai
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 214,36
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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
- Tapa dura
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 227,21
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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
- Tapa dura
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 246,63
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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 204,58
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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: Practical Designs and Configurations for Scalable AI
Thummarakoti, Sairohith; Vududala, Santosh Kumar; Madupati, Bhanuprakash; Kaushik, Dr. Keshav
- Tapa dura
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 256,70
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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
- Tapa dura
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 283,11
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Hardcover. Condición: Brand New. 2nd edition. 216 pages. 10.00x7.00x10.24 inches. In Stock.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 283,00
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Buch. 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-native archi…tectures 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 164,54
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Hardcover. Condición: new. Hardcover. 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: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 162,30
Envío por EUR 43,68Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 292,42
Envío por EUR 32,26Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. 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.
