IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers

IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers

Dino Quintero y otros

Descripción editorial

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 Spectrum™ 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 Systems™ 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.

GÉNERO
Informática e Internet
PUBLICADO
2019
5 de junio
IDIOMA
EN
Inglés
EXTENSIÓN
278
Páginas
EDITORIAL
IBM Redbooks
VENDEDOR
International Business Machines Corp
TAMAÑO
9.9
MB

Más libros de Dino Quintero, Bing He, Bruno C. Faria, Alfonso Jara, Chris Parsons, Shota Tsukamoto & Richard Wale

Software Defined Data Center with Red Hat Cloud and Open Source IT Operations Management Software Defined Data Center with Red Hat Cloud and Open Source IT Operations Management
2020
Implementing IBM Spectrum Scale Implementing IBM Spectrum Scale
2015
IBM Spectrum Scale (formerly GPFS) IBM Spectrum Scale (formerly GPFS)
2017
IBM Power Systems High Availability and Disaster Recovery Updates: Planning for a Multicloud Environment IBM Power Systems High Availability and Disaster Recovery Updates: Planning for a Multicloud Environment
2022
IBM Power Systems Virtual Server Guide for IBM i IBM Power Systems Virtual Server Guide for IBM i
2022
Asynchronous Geographic Logical Volume Mirroringm Best Practices for Cloud Deployment Asynchronous Geographic Logical Volume Mirroringm Best Practices for Cloud Deployment
2022

Otros clientes también compraron

Efficient Learning Machines Efficient Learning Machines
2015
AI and Big Data on IBM Power Systems Servers AI and Big Data on IBM Power Systems Servers
2019
Applied Computer Vision for Undergrads Applied Computer Vision for Undergrads
2014
Machine Learning with Business Rules on IBM Z: Acting on Your Insights Machine Learning with Business Rules on IBM Z: Acting on Your Insights
2019
Automated Machine Learning Automated Machine Learning
2019
Building Cognitive Applications with IBM Watson Services: Volume 3 Visual Recognition Building Cognitive Applications with IBM Watson Services: Volume 3 Visual Recognition
2017