Verwandte Artikel zu AI Infrastructure Engineering: Building GPU Systems,...
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments - Softcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für AI Infrastructure Engineering: Building GPU Systems,...
Beispielbild für diese ISBN
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
Print-on-DemandAnbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9798197947581
Neu kaufen
EUR 36,00
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
AI Infrastructure Engineering
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. Bestandsnummer des Verkäufers LU-9798197947581
Neu kaufen
EUR 39,85
Versand gratis
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
AI Infrastructure Engineering (Paperback)
Print-on-DemandAnbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798197947581
Beispielbild für diese ISBN
AI Infrastructure Engineering (Paperback)
Print-on-DemandAnbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798197947581
Neu kaufen
EUR 39,61
EUR 43,80 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
AI Infrastructure Engineering : Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9798197947581
Neu kaufen
EUR 54,76
EUR 35,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
AI Infrastructure Engineering
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. Bestandsnummer des Verkäufers LU-9798197947581
Neu kaufen
EUR 37,53
EUR 76,94 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar