Written by a team of experts, Red Hat Linux Unleashed is your complete guide to getting the most from Linux. This book and CD-ROM work together to provide you with a complete version of Red Hat Linux 3.0.3 and all of the tools, as well as detailed coverage of every aspect of the Linux system.

This book/CD-ROM package will get the reader instantly working on the popular 32-bit Slackware implementation of the UNIX operating system. This third edition follows in the tradition of the highly successful first two versions and includes all the latest features of Slackware Linux.

Shows the reader how to install, configure and manage the latest version of Debian Linux at the time of pubication. The book covers the most important topics to the Debian Linux intermediate/advanced user on installation and management of Debian systems. The book also provides wisdom and insights on how to control some of the more difficult to use aspects of Debian, like integrating Debian into Microsoft networks. Advanced topics show how to set up an Internet server, set up a firewall, and install Linux on notebook computers. The text also offers coverage of working with open-source databases, and covers programming in several languages and shells in detail.

Covers 20.04, 20.10, and 21.04 Ubuntu Linux Unleashed 2021 Edition is filled with unique and advanced information for everyone who wants to make the most of the Ubuntu Linux operating system. This new edition has been thoroughly updated by a long-time Ubuntu user and early community leader to reflect the exciting new Ubuntu 20.04 LTS release, with a forthcoming online update mid-2021, at the halfway mark before the next LTS release comes out. Linux writer Matthew Helmke covers all you need to know about Ubuntu 20.04 LTS installation, configuration, productivity, command-line usage, development, systems administration, server operations, networking, virtualization, cloud computing, DevOps, and more—including intermediate-to-advanced techniques you won't find in any other book. Helmke presents up-to-the-minute introductions to Ubuntu's key productivity and web development tools, programming languages, hardware support, and more. You'll find new or improved coverage of the Ubuntu desktop experience, common web servers and software stacks, an introduction to containers like Docker and Kubernetes, as well as a wealth of systems administration information that is stable and valuable over many years. Configure and use the Ubuntu desktop Get started with multimedia and productivity applications Manage Linux services, users, and software packages Administer and run Ubuntu from the command line Automate tasks and use shell scripting Provide secure remote access and configure a secure VPN Manage kernels and modules Administer file, print, email, proxy, LDAP, DNS, and HTTP servers (Apache, Nginx, or alternatives) Work with databases (SQL) and learn about NoSQL alternatives Get started with virtualization and cloud deployment, including information about containers Learn about options for managing large numbers of servers, including in the cloud Learn the basics about popular programming languages including Python, PHP, Perl, and gain an introduction to new alternatives such as Go and Rust

This IBM® Redbooks® publication is a guide about the IBM PowerAI Deep Learning solution. This book provides an introduction to artificial intelligence (AI) and deep learning (DL), IBM PowerAI, and components of IBM PowerAI, deploying IBM PowerAI, guidelines for working with data and creating models, an introduction to IBM SpectrumTM Conductor Deep Learning Impact (DLI), and case scenarios. IBM PowerAI started as a package of software distributions of many of the major DL software frameworks for model training, such as TensorFlow, Caffe, Torch, Theano, and the associated libraries, such as CUDA Deep Neural Network (cuDNN). The IBM PowerAI software is optimized for performance by using the IBM Power SystemsTM servers that are integrated with NVLink. The AI stack foundation starts with servers with accelerators. graphical processing unit (GPU) accelerators are well-suited for the compute-intensive nature of DL training, and servers with the highest CPU to GPU bandwidth, such as IBM Power Systems servers, enable the high-performance data transfer that is required for larger and more complex DL models. This publication targets technical readers, including developers, IT specialists, systems architects, brand specialist, sales team, and anyone looking for a guide about how to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure.