Practical RHEL AI | Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux
Idioma: inglés
Editorial: Apress, 2026
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Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de IberLibro desde 5 de agosto de 2024
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Practical RHEL AI | Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux | Luca Berton | Taschenbuch | xix | Englisch | 2026 | Apress | EAN 9798868819001 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 134424712
- Título
- Practical RHEL AI | Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux
- Autor
- Luca Berton
- Editorial
- Apress
- Año de publicación
- 2026
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 13
- 9798868819001
- Peso del artículo
- 532 gramos
- Dimensiones
- 254 x 178 x 16 mm
- Catálogos de vendedores
- Bücher
If you're looking to build, deploy, and scale AI solutions with confidence, Practical RHEL AI is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process―from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.
You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless―GPU acceleration, containerization, and cloud integration with AWS and Azure.
Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible. However, theory only gets you so far―real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance. With Practical RHEL AI, you’re not just learning AI―you’re building AI solutions that scale.
You Will:
- Learn to Install and Configure RHEL AI to optimize machine learning workloads
- Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn
- Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions
- Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices
· This Book is for:
AI and machine learning engineers, DevOps and system administrators, Data scientists, and IT professionals and cloud architects
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Luca Berton is a seasoned AI Automation and DevOps expert with more than 18 years of experience in IT, specializing in cloud infrastructure, machine learning platforms, and enterprise-scale automation. He has led major AI and automation initiatives for financial institutions such as JPMorgan Chase, Société Générale, ABN Ambro and BPCE, designing GPU-accelerated Kubernetes/OpenShift AI clusters and optimizing CI/CD pipelines for regulated environments.
Luca is the creator of the popular Ansible Pilot project and author of several best-selling technical books, including Ansible for Kubernetes by Example and Hands-On Ansible Automation. A former Red Hat engineer, he has made significant contributions to the open source ecosystem, particularly in enhancing Ansible's capabilities for cloud and AI workloads. Widely recognized for his teaching and community leadership, Luca regularly shares his expertise through courses on Coursera, Pluralsight, and Educative, and speaks at global tech conferences on topics ranging from MLOps to infrastructure automation.“Acerca de” puede pertenecer a otra edición de este título.
preigu
Osnabrück, Alemania
Vendedor de IberLibro desde 5 de agosto de 2024
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Revocation right for consumers
(A ‘consumer' is any natural person who concludes a legal transaction which, to an overwhelming extent, cannot be attributed to either his commercial or independent professional activities.)
Instructions for revocation
Revocation right
You have the right to revoke this contract within 14 days without specifying any reasons.
The revocation period is 14 days with effect from the day,
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on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
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Specimen - revocation form
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To preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Email address: mail@preigu.de :
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I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
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Ordered on ()/ received on ()
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Address of the consumer(s)
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