Items related to AI Infrastructure Engineering: Building GPU Systems,...
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments - Softcover
Synopsis
Reactive Publishing
Master the full stack of modern AI infrastructure, from raw hardware to large-scale production systems.
This practical guide delivers the essential knowledge and techniques used by today’s AI infrastructure engineers and platform teams. You will learn how to design, build, optimize, and operate reliable GPU-powered systems that power real-world AI workloads at scale.
Inside the book:
- Architect and deploy high-performance GPU clusters
- Optimize inference pipelines for speed, cost, and efficiency
- Design and manage distributed training and serving architectures
- Implement production-grade monitoring, scaling, and reliability practices
- Navigate the trade-offs between on-prem, cloud, and hybrid environments
Written for engineers, architects, and technical leaders, this book bridges the gap between theoretical machine learning and the complex realities of running AI in production. Whether you are building your first GPU cluster or scaling an existing platform to thousands of accelerators, you will find actionable strategies and battle-tested patterns you can apply immediately.
Clear, up-to-date, and focused on real engineering challenges, not hype.
"synopsis" may belong to another edition of this title.
Search results for AI Infrastructure Engineering: Building GPU Systems,...
Stock Image
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
Print on DemandSeller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9798197947581
Seller Image
AI Infrastructure Engineering
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Seller Inventory # LU-9798197947581
Buy New
£ 33.66
Free Shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
AI Infrastructure Engineering (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Reactive PublishingMaster the full stack of modern AI infrastructure, from raw hardware to large-scale production systems.This practical guide delivers the essential knowledge and techniques used by today's AI infrastructure engineers and platform teams. You will learn how to design, build, optimize, and operate reliable GPU-powered systems that power real-world AI workloads at scale.Inside the book: Architect and deploy high-performance GPU clustersOptimize inference pipelines for speed, cost, and efficiencyDesign and manage distributed training and serving architecturesImplement production-grade monitoring, scaling, and reliability practicesNavigate the trade-offs between on-prem, cloud, and hybrid environmentsWritten for engineers, architects, and technical leaders, this book bridges the gap between theoretical machine learning and the complex realities of running AI in production. Whether you are building your first GPU cluster or scaling an existing platform to thousands of accelerators, you will find actionable strategies and battle-tested patterns you can apply immediately.Clear, up-to-date, and focused on real engineering challenges, not hype. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798197947581
Stock Image
AI Infrastructure Engineering (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Reactive PublishingMaster the full stack of modern AI infrastructure, from raw hardware to large-scale production systems.This practical guide delivers the essential knowledge and techniques used by today's AI infrastructure engineers and platform teams. You will learn how to design, build, optimize, and operate reliable GPU-powered systems that power real-world AI workloads at scale.Inside the book: Architect and deploy high-performance GPU clustersOptimize inference pipelines for speed, cost, and efficiencyDesign and manage distributed training and serving architecturesImplement production-grade monitoring, scaling, and reliability practicesNavigate the trade-offs between on-prem, cloud, and hybrid environmentsWritten for engineers, architects, and technical leaders, this book bridges the gap between theoretical machine learning and the complex realities of running AI in production. Whether you are building your first GPU cluster or scaling an existing platform to thousands of accelerators, you will find actionable strategies and battle-tested patterns you can apply immediately.Clear, up-to-date, and focused on real engineering challenges, not hype. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798197947581
Buy New
£ 32.49
£ 37 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
AI Infrastructure Engineering : Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware - Reactive PublishingMaster the full stack of modern AI infrastructure, from raw hardware to large-scale production systems.This practical guide delivers the essential knowledge and techniques used by today's AI infrastructure engineers and platform teams. You will learn how to design, build, optimize, and operate reliable GPU-powered systems that power real-world AI workloads at scale.Inside the book: - Architect and deploy high-performance GPU clusters- Optimize inference pipelines for speed, cost, and efficiency- Design and manage distributed training and serving architectures- Implement production-grade monitoring, scaling, and reliability practices- Navigate the trade-offs between on-prem, cloud, and hybrid environmentsWritten for engineers, architects, and technical leaders, this book bridges the gap between theoretical machine learning and the complex realities of running AI in production. Whether you are building your first GPU cluster or scaling an existing platform to thousands of accelerators, you will find actionable strategies and battle-tested patterns you can apply immediately.Clear, up-to-date, and focused on real engineering challenges, not hype. Seller Inventory # 9798197947581
Seller Image
AI Infrastructure Engineering
Seller: Rarewaves.com UK, London, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Seller Inventory # LU-9798197947581
Buy New
£ 30.79
£ 65 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available