End-to-end support for the deep learning workflow

IBM Spectrum™ Deep Learning Impact for Power Systems Software™ enables you to build a deep learning environment, providing an end-to-end workflow that allows data scientists to focus on training, tuning and deploying models into production. You can get started working with your data for deep learning while avoiding highly manual and repetitive steps and bypassing the need for specialized domain knowledge. The solution deploys with simple software downloads that give data scientists everything they need to build a distributed deep learning environment in hours rather than days or weeks—and manage it easily as the environment grows.


Accelerates training times

Optimized software reduces the time spent importing, transforming and preparing data. Distributed training on multiple servers and GPUs speeds time to results.

Improves model accuracy

Hyper-parameter search and optimization, and training visualization and tuning enable greater model accuracy.

Increases ROI

Shared resources among many data scientists running different models drives higher utilization.

Leverages IBM Spectrum Conductor

This highly available multitenant framework is designed to build a shared, enterprise-class Apache Spark environment.

Runs on IBM Power Systems Servers

When optimized to take full advantage of IBM Power Systems™ Servers with NVLink CPUs and NVIDIA GPUs, IBM benchmarks have seen 50x improvements, cutting training times from days to hours.

Key Features

  • Addresses the most challenging deep learning issues
  • Meet needs of high performance deep learning applications
  • Simplifies and optimizes an end-to-end workflow
  • Takes advantage of a distributed server architecture