IBM Wants to be “Red Hat” of Deep Learning

By John Russell

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. It’s another step in IBM efforts to lay claim to leadership in the nascent deep learning market. Offering supported distributions of popular frameworks, said Sumit Gupta, IBM vice president, High Performance Computing and Analytics, is a natural next step in expanding and commercializing deep learning use.

“What we did with PowerAI is create a software distribution for deep learning and machine learning. The insight to do that came from the Linux world. Most enterprise clients don’t go to Linux.org to get their Linux, they go to Red Hat or SUSE,” said Gupta. “Today deep learning is completely an open source community with users going to TensorFlow.org or Caffe.org etc. to download software. But we have clients saying they would prefer to get a supported distribution. So we created PowerAI, a pre-curated, pre-bundled binary that has all the deep learning frameworks. The problems we’re solving are that downloading and installing these frameworks is hard. TensorFlow, for example, depends on a 100 different packages.”

“I want to emphasize that in a sense we have become the Red Hat of deep learning. As Red Hat is to Linux, IBM PowerAI is to deep learning.”

TensorFlow, of course, was originally created by Google and then put into the open source community. “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,” said Rajat Monga, engineering leader for TensorFlow. “IBM’s enterprise offering of TensorFlow will help organizations deploy this framework — we’re glad to see this support.”

According to  the IBM release, “IBM Technology Support Services will build upon its hardware support services by investing and launching a new innovative enterprise software support offering for the PowerAI stack for a competitive advantage. Further, IBM Global Business Solutions established a deep learning design and development team as part of its Cognitive Business Solutions practice to help build solutions on the PowerAI platform, while making use of popular frameworks such as TensorFlow.”

“Every enterprise is looking at emerging artificial intelligence methods to take advantage of the data they now have access to,” said Ken King, IBM general manager for OpenPOWER. “Our PowerAI software offering curates packages and provides enterprise-level support for the major deep learning frameworks like TensorFlow, to enable enterprises to easily use these new AI methods to build new computer models for analyzing their data.”

Selling Power-based servers is also a big goal. In September, IBM introduced several new Power8-based machines, including the Minsky platform that has the Power8+ chip and NVLink for communication with NVIDIA’s P100 GPUs. PowerAI has been optimized for Minsky and Gupta said TensorFlow, for example, “runs 30% faster* on Minsky (Power System S822LC for HPC) compared to an x86 system with PCIe GPUs, so we have shown the value of NVLink between the CPU and GPU (details of the systems compared with below).”

Gupta characterized TensorFlow as becoming one of the most popular DL framework in the U.S. while Chainer is the most popular in Japan. The PowerAI suite now includes CAFFE, Chainer, TensorFlow, Theano, Torch, cuDNN, NVIDIA DIGITS, and several other machine and deep learning frameworks and libraries. The IBM PowerAI roadmap includes addition of supported versions of the Microsoft Cognitive Toolkit (previously called CNTK) and Amazon’s MXNet, said Gupta.

The newest edition of the PowerAI software is available now for download. It will also be available on the HPC specialist Nimbix cloud which offers high-end Minsky machines with NVLink and P100 GPUs. Gupta said Nimbix already has “a lot of customers right now are using the Minsky cloud that they put up a few months ago.”

Market traction for the Minsky platform, said Gupta, has been especially strong although he declined to offer numbers or identify major wins.

*Details behind the 30% advantage supplied by IBM:

Achieved 30% more Images/sec on TensorFlow 0.12 training when compared to a system with four NVIDIA Tesla P100s attached through conventional PCIe when running the Inception v3 model, a popular image recognition framework.

Results are based on IBM Internal Measurements running TensorFlow 0.12 (model: Inception v3, dataset: ImageNet2012) training for 500 iterations.

Power System S822LC for HPC: 20 cores (2 x 10c chips), POWER8; 3.95GHz (peak); 512GB RAM; 4x Nvidia Tesla (NVLink) P100 GPU; Ubuntu 16.04, TensorFlow 0.12.0

Competitive System: E5-2640v4; 20 cores (2 x 10c chips), Broadwell; 3.4Ghz; 512GB RAM; 4x Nvidia Tesla P100 (PCIe) GPU; Ubuntu 16.04, TensorFlow 0.12.1

Related Links

IBM Launches PowerAI Suite Optimized for its Highest Performing Server

IBM Debuts Power8 Chip with NVLink and Three New Systems

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Talk to Me: Nvidia Claims NLP Inference, Training Records

August 15, 2019

Nvidia says it’s achieved significant advances in conversation natural language processing (NLP) training and inference, enabling more complex, immediate-response interchanges between customers and chatbots. And the co Read more…

By Doug Black

Trump Administration and NIST Issue AI Standards Development Plan

August 14, 2019

Efforts to develop AI are gathering steam fast. On Monday, the White House issued a federal plan to help develop technical standards for AI following up on a mandate contained in the Administration’s AI Executive Order Read more…

By John Russell

Scientists to Tap Exascale Computing to Unlock the Mystery of our Accelerating Universe

August 14, 2019

The universe and everything in it roared to life with the Big Bang approximately 13.8 billion years ago. It has continued expanding ever since. While we have a good understanding of the early universe, its fate billions Read more…

By Rob Johnson

AWS Solution Channel

Efficiency and Cost-Optimization for HPC Workloads – AWS Batch and Amazon EC2 Spot Instances

High Performance Computing on AWS leverages the power of cloud computing and the extreme scale it offers to achieve optimal HPC price/performance. With AWS you can right size your services to meet exactly the capacity requirements you need without having to overprovision or compromise capacity. Read more…

HPE Extreme Performance Solutions

Bring the combined power of HPC and AI to your business transformation

FPGA (Field Programmable Gate Array) acceleration cards are not new, as they’ve been commercially available since 1984. Typically, the emphasis around FPGAs has centered on the fact that they’re programmable accelerators, and that they can truly offer workload specific hardware acceleration solutions without requiring custom silicon. Read more…

IBM Accelerated Insights

Cloudy with a Chance of Mainframes

[Connect with HPC users and learn new skills in the IBM Spectrum LSF User Community.]

Rapid rates of change sometimes result in unexpected bedfellows. Read more…

Argonne Supercomputer Accelerates Cancer Prediction Research

August 13, 2019

In the fight against cancer, early prediction, which drastically improves prognoses, is critical. Now, new research by a team from Northwestern University – and accelerated by supercomputing resources at Argonne Nation Read more…

By Oliver Peckham

Scientists to Tap Exascale Computing to Unlock the Mystery of our Accelerating Universe

August 14, 2019

The universe and everything in it roared to life with the Big Bang approximately 13.8 billion years ago. It has continued expanding ever since. While we have a Read more…

By Rob Johnson

AI is the Next Exascale – Rick Stevens on What that Means and Why It’s Important

August 13, 2019

Twelve years ago the Department of Energy (DOE) was just beginning to explore what an exascale computing program might look like and what it might accomplish. Today, DOE is repeating that process for AI, once again starting with science community town halls to gather input and stimulate conversation. The town hall program... Read more…

By Tiffany Trader and John Russell

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

Lenovo Drives Single-Socket Servers with AMD Epyc Rome CPUs

August 7, 2019

No summer doldrums here. As part of the AMD Epyc Rome launch event in San Francisco today, Lenovo announced two new single-socket servers, the ThinkSystem SR635 Read more…

By Doug Black

Building Diversity and Broader Engagement in the HPC Community

August 7, 2019

Increasing diversity and inclusion in HPC is a community-building effort. Representation of both issues and individuals matters - the more people see HPC in a w Read more…

By AJ Lauer

Xilinx vs. Intel: FPGA Market Leaders Launch Server Accelerator Cards

August 6, 2019

The two FPGA market leaders, Intel and Xilinx, both announced new accelerator cards this week designed to handle specialized, compute-intensive workloads and un Read more…

By Doug Black

Upcoming NSF Cyberinfrastructure Projects to Support ‘Long-Tail’ Users, AI and Big Data

August 5, 2019

The National Science Foundation is well positioned to support national priorities, as new NSF-funded HPC systems to come online in the upcoming year promise to Read more…

By Ken Chiacchia, Pittsburgh Supercomputing Center/XSEDE

High Performance (Potato) Chips

May 5, 2006

In this article, we focus on how Procter & Gamble is using high performance computing to create some common, everyday supermarket products. Tom Lange, a 27-year veteran of the company, tells us how P&G models products, processes and production systems for the betterment of consumer package goods. Read more…

By Michael Feldman

Supercomputer-Powered AI Tackles a Key Fusion Energy Challenge

August 7, 2019

Fusion energy is the Holy Grail of the energy world: low-radioactivity, low-waste, zero-carbon, high-output nuclear power that can run on hydrogen or lithium. T Read more…

By Oliver Peckham

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

Nvidia Embraces Arm, Declares Intent to Accelerate All CPU Architectures

June 17, 2019

As the Top500 list was being announced at ISC in Frankfurt today with an upgraded petascale Arm supercomputer in the top third of the list, Nvidia announced its Read more…

By Tiffany Trader

Leading Solution Providers

ISC 2019 Virtual Booth Video Tour

CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
GOOGLE
GOOGLE
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
VERNE GLOBAL
VERNE GLOBAL

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

Top500 Purely Petaflops; US Maintains Performance Lead

June 17, 2019

With the kick-off of the International Supercomputing Conference (ISC) in Frankfurt this morning, the 53rd Top500 list made its debut, and this one's for petafl Read more…

By Tiffany Trader

A Behind-the-Scenes Look at the Hardware That Powered the Black Hole Image

June 24, 2019

Two months ago, the first-ever image of a black hole took the internet by storm. A team of scientists took years to produce and verify the striking image – an Read more…

By Oliver Peckham

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

Chinese Company Sugon Placed on US ‘Entity List’ After Strong Showing at International Supercomputing Conference

June 26, 2019

After more than a decade of advancing its supercomputing prowess, operating the world’s most powerful supercomputer from June 2013 to June 2018, China is keep Read more…

By Tiffany Trader

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

Qualcomm Invests in RISC-V Startup SiFive

June 7, 2019

Investors are zeroing in on the open standard RISC-V instruction set architecture and the processor intellectual property being developed by a batch of high-flying chip startups. Last fall, Esperanto Technologies announced a $58 million funding round. Read more…

By George Leopold

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This