Overview of IBM Spectrum Conductor Deep Learning Impact 1.1.0

IBM Spectrum Conductor Deep Learning Impact 1.1.0 is an add-on to IBM Spectrum Conductor with Spark 2.2.1 that provides deep learning capabilities to your new or existing IBM Spectrum Conductor with Spark environment.

IBM Spectrum Conductor Deep Learning Impact provides robust, end-to-end workflow support for deep learning application logic. This includes the complete lifecycle management from installation and configuration, data ingest and preparation, building, optimizing, and training the model, to inference and testing.

IBM Spectrum Conductor Deep Learning Impact is built on IBM Spectrum Conductor with Spark, a highly available and resilient multitenant distributed framework, providing Apache Spark and deep learning application lifecycle support, centralized management and monitoring, end-to-end security, and support from IBM.

Figure 1. IBM Spectrum Conductor Deep Learning Impact architecture overview

IBM Spectrum Conductor Deep Learning Impact supports both the TensorFlow and Caffe deep learning frameworks. It also utilizes IBM Spectrum Scale for shared storage of deep learning working user data. To learn more about available features, see Features.