Power servers

Expanding choices for PowerAI developers with TensorFlow

Share this post:

Watson, Siri, the Google Assistant and Amazon Alexa have inspired worldwide interest in deep learning and the promise it holds for artificial intelligence (AI) development. But today, deploying this technology can be costly and time-consuming, often requiring an in-house deep learning development group stuffed with PhDs.

That’s why IBM created PowerAI, the world’s leading enterprise distribution and support for open-source machine and deep learning frameworks used to build cognitive applications. IBM PowerAI provides a curated, tested and pre-compiled binary software distribution that enables enterprises to quickly and easily deploy deep learning for their data science and analytics application development.

In support of making sure our clients have the widest selection of deep learning distributions, we just published an update to PowerAI. This release expands support to the TensorFlow 0.12 deep learning framework, originally released by Google.

PowerAI with TensorFlow and a lot more

The latest version of PowerAI including TensorFlow has been optimized and validated on GPU-accelerated Linux on Power platforms running Ubuntu 16.04 and the NVIDIA CUDA 8 software platform — and our optimizations take particular advantage of NVIDIA Tesla P100 GPUs connected to POWER8 with the NVIDIA NVLink interconnect on the IBM Power Systems S822LC for HPC.

This updated release also incorporates Google’s Bazel build tool, which is used in the development of many advanced TensorFlow models.

TensorFlow on IBM S822LC for HPC with four NVLink-attached Tesla P100 GPUs is showing a 30 percent performance advantage when compared to a system with four Tesla P100 GPUs attached through conventional PCIe when running the Inception v3 model, a popular image recognition framework.

World’s most popular deep learning framework, faster

TensorFlow is the most popular deep learning framework on GitHub, and it has been embraced around the world by deep learning users in every kind of organization. With PowerAI, TensorFlow is becoming effortless to deploy in the enterprise.

Rajat Monga is a Google engineering leader for TensorFlow. He says, “TensorFlow is quickly becoming a viable option for companies interested in deploying deep learning for tasks ranging from computer vision, to speech recognition, to text analytics. IBM’s enterprise offering of TensorFlow will help organizations deploy this framework — we’re glad to see this support.”

How to get started

  • On existing hardware or a new system

We encourage you to try IBM PowerAI and develop your deep learning applications on Power. PowerAI is available as an easy-to-install binary for fast, efficient deployment with regular validated updates.

  • In the cloud

If you are just beginning your deep learning journey, you can now accelerate deep learning with the power of IBM POWER8 and NVIDIA GPUs on the cloud! The most recent release of PowerAI is available in the Nimbix Cloud.

The entire PowerAI team is excited for your feedback. Share how you are unleashing the power of deep learning to transform the future of computing in the comments section.

More Power servers stories

Four ways to stem the tide of rising cybersecurity risks

Data security, IBM Systems Lab Services, Power Systems

One of the greatest challenges in the IT industry is staying ahead of the cybercriminal. This is no easy task. The 2019 Cost of a Data Breach Report, conducted by the Ponemon Institute and sponsored by IBM Security, indicates that the chances of experiencing a data breach have increased from 22.6 percent in 2014 to ...read more

Top IBM Power Systems myths: “IBM AIX is dead and Unix isn’t relevant in today’s market” (part 2)

AI, IBM Systems Lab Services, Power Systems

In part 1 of this series, we started to look at the myth that IBM AIX and Unix are no longer relevant. We talked about the Unix wars that began in the 1980s and how the market has evolved since then. Now, let’s consider the evolution of AIX in the past few decades and the ...read more

Seven ways IBM PowerVC can make IT operations more nimble

AI, IBM Systems Lab Services, Power Systems

Every day, organizations face the task of managing their IBM Power Systems infrastructure and virtualization. Operations teams always have to be on their toes to keep up with the ever-increasing demands of logical partition (LPAR) deployments, decommissions, storage volume management, SAN zoning, managing standardized OS image catalogues and whatnot. But how can you manage these ...read more