NVIDIA GPU Infrastructure Fundamentals (Paperback)

Lingua: inglese

Editore: Packt Publishing Limited, Birmingham, 2026

1808087496 / 9781808087493

Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

Venditore con 5 stelle

Venditore AbeBooks dal 22 giugno 2007

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EUR 75,26

EUR 32,54 spedizione 
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Descrizione dell’articolo da parte del venditore

Paperback. Decode the NVIDIA GPU ecosystem in one structured guide. Compare technologies, understand how platform layers interact, and build the judgment to evaluate infrastructure choices and trade-offs.Key FeaturesUnderstand how GPUs, CUDA, networking, storage, and DPUs support AI workloadsLearn the roles of MIG, vGPU, DCGM, Kubernetes, Slurm, NGC, and TritonConnect infrastructure components across the AI development and deployment lifecycleBook DescriptionNVIDIA GPU infrastructure spans hardware, system software, networking, storage, orchestration, MLOps, and inference. Understanding how these components fit together, where their responsibilities overlap, and which distinctions matter requires a clear, structured path.This book provides that path through one coherent narrative of the NVIDIA GPU infrastructure stack. It covers accelerated computing, CUDA, and the NVIDIA software ecosystem before comparing data center GPUs against workload characteristics. You will examine MIG, vGPU, and DCGM for resource sharing and monitoring; Kubernetes and Slurm for GPU scheduling; and the networking and storage layer, including Ethernet, InfiniBand, RDMA, GPUDirect Storage, BlueField DPUs, and DOCA.Later chapters connect infrastructure to the AI lifecycle through Airflow, MLflow, and Kubeflow for MLOps, NGC for software delivery, and ONNX, TensorRT, and Triton for inference. You will also explore the Kubernetes components, monitoring technologies, scaling considerations, and diagnostic concepts that support production GPU clusters.By connecting these technologies instead of presenting them as isolated products, the book helps you compare platform choices, understand component boundaries, discuss trade-offs, and develop a durable mental model of NVIDIA GPU infrastructure.What you will learnDistinguish AI, machine learning, and deep learningExplain why GPUs accelerate modern AI workloadsMatch NVIDIA GPUs to training and inference requirementsSelect MIG or vGPU for common resource-sharing scenariosCompare Ethernet and InfiniBand for distributed AI workloadsMap MLOps tools to the right stage of the AI lifecycleDifferentiate ONNX, TensorRT, and Triton in inference workflowsTrace GPU cluster issues across platform layersWho this book is forThis book is for system administrators, cloud and DevOps professionals, data center and networking teams, solution architects, technical managers, presales professionals, and beginners who need a clear understanding of NVIDIA GPU infrastructure. It is especially relevant to professionals moving into AI infrastructure roles, evaluating GPU platform technologies, or collaborating across compute, networking, MLOps, and operations teams. Basic familiarity with IT, cloud, or data center concepts is helpful; programming, data science, and previous GPU experience are not required. 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. …

Codice articolo 9781808087493

Titolo
NVIDIA GPU Infrastructure Fundamentals (Paperback)
Autore
Vivian Aranha
Editore
Packt Publishing Limited, Birmingham
Anno di pubblicazione
2026
Condizione
new
Rilegatura
Paperback
Lingua
inglese
ISBN 10
1808087496
ISBN 13
9781808087493

AussieBookSeller

Truganina, VIC, Australia

Venditore con 5 stelle

Venditore AbeBooks dal 22 giugno 2007

Tariffe di spedizione da Australia a U.S.A.

ArticoloDa 25 a 45 giorni lavorativiDa 8 a 14 giorni lavorativi
Primo articoloEUR 32,54EUR 38,70
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