Practical Rhel AI: Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux
暫譯: 實用 RHEL AI：使用 Red Hat Enterprise Linux 設計、部署和擴展 AI 解決方案

Berton, Luca

Practical Rhel AI: Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux
  • 出版商: Apress
  • 出版日期: 2026-01-03
  • 售價: $2,030
  • 貴賓價: 9.5 折 $1,929
  • 語言: 英文
  • 頁數: 259
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868819001
  • ISBN-13: 9798868819001
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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

商品描述(中文翻譯)

如果您希望自信地構建、部署和擴展 AI 解決方案，《Practical RHEL AI》是您所需的指南。無論您是 AI 開發人員、數據科學家還是 DevOps 工程師，本書將引導您完成整個過程——從設置 AI 開發環境到優化和保護在 Red Hat Enterprise Linux 上的企業級 AI 工作負載。

您將從基本要素開始：安裝、配置，以及利用強大的機器學習框架，如 TensorFlow、PyTorch 和 Scikit-learn。接著，您將深入了解使 AI 部署無縫的工具——GPU 加速、容器化，以及與 AWS 和 Azure 的雲端整合。

在 AI 領域，安全性和合規性是不可妥協的，本書確保您能正確處理這些問題。學習如何使用加密保護您的模型，實施基於角色的訪問控制 (RBAC)，並遵循 GDPR 和 HIPAA 等行業標準。您還將掌握使用 Prometheus 和 Grafana 監控 AI 工作負載，排除常見問題，並使用 Ansible 自動化部署。然而，理論只能帶您到某個程度——實際應用才是關鍵。通過在醫療、金融和製造領域的實作範例和案例研究，您將看到 RHEL AI 如何推動該領域的創新。此外，您還將獲得有關 AI 未來的見解，包括可解釋的 AI (XAI)、邊緣 AI 和 AI 治理。通過《Practical RHEL AI》，您不僅是在學習 AI——您正在構建可擴展的 AI 解決方案。

您將會：

- 學習安裝和配置 RHEL AI，以優化機器學習工作負載
- 理解如何使用 TensorFlow、PyTorch 和 Scikit-learn 訓練和部署 AI 模型
- 探索如何整合和實施 GPU 加速、雲計算和容器化以實現可擴展的 AI 解決方案
- 學習如何使用加密、RBAC 和合規最佳實踐來保護和評估 AI 工作負載

- 本書適合：

AI 和機器學習工程師、DevOps 和系統管理員、數據科學家，以及 IT 專業人員和雲架構師

作者簡介

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.

作者簡介(中文翻譯)

Luca Berton 是一位資深的人工智慧自動化和 DevOps 專家，擁有超過 18 年的 IT 經驗，專注於雲端基礎設施、機器學習平台和企業級自動化。他曾為金融機構如 JPMorgan Chase、Société Générale、ABN Ambro 和 BPCE 領導主要的人工智慧和自動化計畫，設計 GPU 加速的 Kubernetes/OpenShift AI 叢集，並優化受監管環境中的 CI/CD 管道。

Luca 是受歡迎的 Ansible Pilot 專案的創建者，也是幾本暢銷技術書籍的作者，包括 Ansible for Kubernetes by Example 和 Hands-On Ansible Automation。作為前 Red Hat 工程師，他對開源生態系統做出了重要貢獻，特別是在增強 Ansible 對雲端和人工智慧工作負載的能力方面。

Luca 因其教學和社群領導能力而廣受認可，他定期通過 Coursera、Pluralsight 和 Educative 的課程分享他的專業知識，並在全球技術會議上就 MLOps 到基礎設施自動化等主題發表演講。

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