Designing NVIDIA AI Infrastructure (Paperback)

Idioma: inglés

Editorial: Packt Publishing Limited, Birmingham, 2026

1808080130 / 9781808080135

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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Vendedor de AbeBooks desde el 22 de junio de 2007

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Paperback. Navigate NVIDIA's enterprise AI infrastructure with confidence, from GPUs and data movement to orchestration, security, monitoring, edge systems, and model serving.Key FeaturesBuild career-relevant knowledge of the NVIDIA AI infrastructure stackMake informed architecture decisions for performance, scalability, security, and costLearn through practical configurations, deployment patterns, and enterprise case studiesBook DescriptionDesigning NVIDIA AI Infrastructure is a concise reference guide for professionals who want to develop career-relevant knowledge of GPU-powered platforms without working through a lengthy manual.The book explains how CPUs, GPUs, DPUs, storage, networking, software, and orchestration combine to support AI workloads. You will explore MIG and vGPU resource models, Kubernetes and Slurm scheduling, data pipelines, performance profiling, monitoring, TensorRT optimization, multi-tenant security, and governance. You will also learn how NVIDIA Jetson and Orin support edge AI and how NGC and Triton Inference Server contribute to model deployment and scalable serving.Selected commands, configuration examples, architecture diagrams, and enterprise scenarios connect these technologies to operational contexts. By the end, you will be able to discuss the NVIDIA AI infrastructure stack with greater confidence, evaluate common design choices and bottlenecks, and use the book as a quick reference when planning cloud, on-premises, hybrid, and edge AI environments.What you will learnUnderstand what MIG and vGPU isolate and what they don'tDistinguish RBAC, network policy, and encryption's separate rolesSee how storage, NVLink, and InfiniBand affect GPU utilizationRecognize where Kubernetes tools' responsibilities stopUnderstand how GDPR, HIPAA, and FedRAMP shape AI infrastructure controls and evidenceUse GPU profiling and telemetry data to investigate bottlenecksLearn how NGC, Triton, and ensembles fit a serving pipelineCompare on-prem, cloud, and hybrid AI cluster trade-offsWho this book is forThis book is for infrastructure engineers, ML and MLOps engineers, solutions architects, and technical leads who need a reliable mental model of NVIDIAs AI infrastructure stack before designing, evaluating, or securing a GPU platform. It also suits professionals moving into AI infrastructure roles. Familiarity with Linux, containers, networking, cloud computing, or Kubernetes is helpful; advanced model-development knowledge and access to enterprise GPU hardware 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.…

N° de ref. del artículo 9781808080135

Título
Designing NVIDIA AI Infrastructure (Paperback)
Autor
Vivian Aranha
Editorial
Packt Publishing Limited, Birmingham
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 10
1808080130
ISBN 13
9781808080135

AussieBookSeller

Truganina, VIC, Australia

Vendedor de 5 estrellas

Vendedor de AbeBooks desde el 22 de junio de 2007

Tarifas de envío de Australia a Estados Unidos de America

ArtículoDe 25 a 45 días hábilesDe 8 a 14 días hábiles
Primer artículoEUR 32,63EUR 38,80
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