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 e outros

Descrição da editora

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.

GÊNERO
Computadores e Internet
LANÇADO
2019
5 de junho
IDIOMA
EN
Inglês
PÁGINAS
278
EDITORA
IBM Redbooks
VENDEDOR
International Business Machines Corp
TAMANHO
9,9
MB
IBM Data Engine for Hadoop and Spark IBM Data Engine for Hadoop and Spark
2016
IBM Reference Architecture for  High Performance Data and AI in Healthcare and Life Sciences IBM Reference Architecture for  High Performance Data and AI in Healthcare and Life Sciences
2019
IBM Spectrum Scale (formerly GPFS) IBM Spectrum Scale (formerly GPFS)
2017
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
IBM Power Systems Virtualization Operation Management for SAP Applications IBM Power Systems Virtualization Operation Management for SAP Applications
2020
Implementing IBM VM Recovery Manager for IBM Power Systems Implementing IBM VM Recovery Manager for IBM Power Systems
2021
AI and Big Data on IBM Power Systems Servers AI and Big Data on IBM Power Systems Servers
2019
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
IBM Software Defined Infrastructure for Big Data Analytics Workloads IBM Software Defined Infrastructure for Big Data Analytics Workloads
2015
A Software Architect's Guide to New Java Workloads in IBM CICS Transaction Server A Software Architect's Guide to New Java Workloads in IBM CICS Transaction Server
2015
Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers
2018
ABCs of IBM z/OS System Programming Volume 1 ABCs of IBM z/OS System Programming Volume 1
2014