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IBM: Introducing SpectrumAI with NVIDIA DGX for deep learning 2018.12.17

Armonk, N.Y., USA - December 11, 2018 - Artificial intelligence, machine learning and deep learning projects are happening in every industry and research team across the globe. According to IDC, by 2019 40 percent of digital transformation initiatives will use AI services; by 2021, 75 percent of commercial enterprise apps will use AI, over 90 percent of consumers will interact with customer support bots, and over 50 percent of new industrial robots will leverage AI.

Photo courtesy of IBM
 

Armonk, N.Y., USA - December 11, 2018

By Eric Herzog
Vice President, Product Marketing and Management,
IBM Storage Systems


Artificial intelligence, machine learning and deep learning projects are happening in every industry and research team across the globe.

According to IDC, by 2019 40 percent of digital transformation initiatives will use AI services; by 2021, 75 percent of commercial enterprise apps will use AI, over 90 percent of consumers will interact with customer support bots, and over 50 percent of new industrial robots will leverage AI.

These companies are investing in hiring data scientists and buying powerful GPU-based servers to develop these AI/ML/DL models and drive significant business value from the oceans of data.
But at the heart of the work is data and the efficiency of the AI data pipeline from data preparation to insights.

The choice of storage is critical to their success.

Photo courtesy of IBM
 
Data scientists need access to large, readily accessible quantities of data supported by a wide variety of data tools.

High-performance, multi-protocol shared storage for the latest AI and data tools, like TensorFlow, PyTorch and Spark, gives data teams faster access to more data with less complexity, lower costs and reliability.

To drive AI development productivity and streamline the AI data pipeline, IBM is expanding the successful release of IBM Systems AI Infrastructure Reference Architecture with the release of IBM SpectrumAI with NVIDIA DGX.

https://www.ibm.com/blogs/systems/building-your-ai-data-pipeline/  

https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=87016787USEN&  

This reference architecture combines the industry acclaimed software-defined storage scale-out file system, IBM Spectrum Scale on flash with NVIDIA DGX-1.

It provides the highest performance storage in any compared system with the unique ability to support a growing data science practice.


Building your AI data pipeline
Photo courtesy of IBM
 
“IBM’s strategy is to make AI/ML/DL more accessible and more performant,”
says Ashish Nadkarni, Group Vice President, IDC Infrastructure Systems, Platforms and Technologies
.
“IBM SpectrumAI with NVIDIA DGX is designed to provide a tested and supported platform. For those who are choosing NIVIDIA DGX servers for the open source frameworks and high-throughput GPU platforms, IBM Spectrum Scale can add intelligent, scalable, secured, metadata rich, cloud- integrated, multiprotocol, high-performing and efficient storage in an easy-to-deploy solution from their top tier business partners.”

IBM SpectrumAI provides a foundation for an AI data infrastructure on which companies can build their data science services and deliver powerful business value from their AI applications.

The proper storage can support the AI data pipeline from data preparation to training, inference and archive.

Tested, tuned and delivered exclusively through the reseller channel, IBM SpectrumAI provides the reference architecture to ramp up quickly and grow confidently.

Building your AI data pipeline
Photo courtesy of IBM
 

“As an IBM Platinum and NVIDIA Deep Learning partner with a full stack approach to partnering with clients around data-driven digital transformation, Mark III has seen firsthand how impactful AI can be in fundamentally transforming the user experience and discovering deeper insights from real-time and historical data than ever thought possible,” says Stan Wysocki, President of Mark III Systems.
“As AI weaves its way into enterprises and institutions, we’re excited about the possibilities around the combination of IBM SpectrumAI with NVIDIA Deep Learning to help enable our clients to build, launch, and scale their AI-driven applications and services around a robust enterprise platform engineered for the future.”


IBM Systems AI Infrastructure Reference Architecture with the release of IBM SpectrumAI with NVIDIA DGX.
This reference architecture combines the industry acclaimed software-defined storage scale-out file system, IBM Spectrum Scale on flash with NVIDIA DGX-1.
It provides the highest performance storage in any compared system with the unique ability to support a growing data science practice.
Photo courtesy of IBM
 
Covering systems and software, IBM SpectrumAI with NVIDIA is designed for data science productivity and IT simplicity.

IBM Spectrum Scale is an award-winning choice for AI and HPC projects because it is readily deployed, high performance and provides unique, intelligent scaling.

In the SpectrumAI reference architecture, it provides maximum data flexibility with developer agility to drive productivity.

Software-defined IBM SpectrumAI with NVDIA DGX can be configured to meet your current and growing business requirements.

Fast and flexible platforms for AI.
Applications built with machine learning and deep learning push system demands to new heights.
To crunch volumes of data at the speed AI requires, you need massive processing power, high throughput, and GPU acceleration.
Photo courtesy of IBM
 
IBM Spectrum Scale
can be deployed in configurations from a single IBM Elastic Storage Server (ESS), to support for a few NVIDIA DGX-1 servers, to a rack of 9 servers with 72 Tesla V100 Tensor Core GPUs to multi-rack configurations.

Unlike traditional storage arrays, the highly parallel IBM Spectrum Scale scales practically linearly with random read data throughput requirements to feed multiple GPUs.

The result is a solution that delivers AI workload performance from shared storage comparable to the that of local RAM disk.


Fast and flexible platforms for AI.
Applications built with machine learning and deep learning push system demands to new heights.
To crunch volumes of data at the speed AI requires, you need massive processing power, high throughput, and GPU acceleration.
Photo courtesy of IBM
 
In a single reference architecture rack, IBM Spectrum Scale on three IBM NVMe arrays demonstrated 120GB/s of data throughput to support multiple user and multiple models simultaneously.

The NVIDIA DGX software stack is designed for maximized GPU-accelerated training performance and including the new RAPIDS framework to accelerate data science workflow.

Adoption of new AI frameworks is simplified by the container model, supported by NVIDIA’s NGC container repository of GPU-optimized applications.

“Our customers are looking to scale up their data science infrastructure to help solve the challenges of AI data deployments,” says Charlie Boyle, Senior Director of DGX Systems at NVIDIA.
“The power of the GPU-accelerated NVIDIA DGX-1, combined with IBM Spectrum Scale’s storage technology, gives data scientists a turnkey solution that brings together industry-leading compute and high-performance storage with proven results.”

Fast and flexible platforms for AI.
Applications built with machine learning and deep learning push system demands to new heights.
To crunch volumes of data at the speed AI requires, you need massive processing power, high throughput, and GPU acceleration.
Photo courtesy of IBM
 
Updated for AI and flash, IBM Spectrum Scale provides the flexibility to fit into the extended data pipeline to help organizations meet their performance, economic and data governance requirements.

Delivered in IBM SpectrumAI as an integrated all-flash solution, it can also provide storage services across different storage choices, including AWS public cloud.

IBM Spectrum Scale can share data with IBM Cloud Object Storage and tape with shared metadata services provided by IBM Spectrum Discover.

“The same storage innovations that are driving the fastest and smartest supercomputers in the world are now available to any data science team building high-performance AI model training infrastructure. Integrated by our joint channel partners, IBM SpectrumAI with NVIDIA DGX can get our clients started quickly and help to grow their AI, machine learning and deep learning projects.” says Sam Werner, VP Offering Management, IBM Software-Defined Storage.


Photo courtesy of IBM
 
IBM Storage
has developed reference architectures and converged systems that our clients need with balanced configurations that can deliver performance and efficiency.

Today, data scientists may start small, but the data will always grow.

By choosing the right starting point, organizations can build an AI data pipeline where value and efficiency grows with volumes of data.


To learn more about IBM SpectrumAI with NVIDIA DGX, visit this webpage and join us for the January 29th webinarBuilding your AI Data Pipeline with IBM SpectrumAI.”

https://www.ibm.com/it-infrastructure/storage/ai-infrastructure  

https://onlinexperiences.com/scripts/Server.nxp  


Photo courtesy of IBM
 
This is the latest in a series of IBM Systems infrastructure solutions for AI that span covering solutions with IBM Power AC922, IBM PowerAI, IBM Spectrum Computing and the IBM Spectrum Storage portfolio.

To learn more about the IBM infrastructure solutions for AI, visit the IBM Systems AI webpages, or start with the IBM Systems AI Infrastructure Reference Architecture.

https://www.ibm.com/it-infrastructure/solutions/ai

https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=87016787USEN&  


Eric Herzog
Vice President, Product Marketing and Management,
IBM Storage Systems


 
 
Source: IBM News Room

https://newsroom.ibm.com  



ASTROMAN Magazine - 2018.12.15

Now Available: NVIDIA Jetson AGX Xavier Module for Next-Gen Autonomous Machines

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2638  


ASTROMAN Magazine - 2018.11.02

IBM Blockchain: How Dubai is Becoming the Blockchain Capital of the World

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2615  


ASTROMAN Magazine - 2018.11.01

IBM To Acquire Red Hat, Completely Changing The Cloud Landscape And Becoming World's #1 Hybrid Cloud Provider For USD 34 Billion

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2614  


ASTROMAN Magazine - 2018.10.12

IBM and NVIDIA Collaborate to Expand Open Source Machine Learning Tools for Data Scientists

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2605  


ASTROMAN Magazine - 2018.09.16

Supermicro New NVIDIA HGX-2 based SuperServer is World's Most Powerful Cloud Server Platform for AI and HPC

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2587  


ASTROMAN Magazine - 2018.09.06

IBM think Warsaw 2018 - Technologia w służbie ludzkości - 18 września 2018, Warszawa, Hotel Hilton

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2579  


ASTROMAN Magazine - 2018.06.12

NVIDIA. Reaching the Summit: Accelerated Computing Powering World's Fastest Supercomputer

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2531  


ASTROMAN Magazine - 2018.06.12

IBM Systems. Reaching the Summit: The World's Smartest Supercomputer

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2530  


ASTROMAN Magazine - 2018.06.06

NVIDIA Isaac Launches New Era of Autonomous Machines

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2525  


ASTROMAN Magazine - 2018.03.23

How IBM Watson Assistant Helps You Treat Customers Like VIPs

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2468  


ASTROMAN Magazine - 2018.03.22

IBM Demonstrates New Breakthrough in AI Performance

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2467  


ASTROMAN Magazine - 2018.03.21

IBM Services: A New Era of the Smart Enterprise

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2466  


ASTROMAN Magazine - 2018.03.21

Think 2018 Chairman's Address: Putting Smart to Work

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2465  


ASTROMAN Magazine - 2018.01.20

IBM and Salesforce Strengthen Strategic Partnership

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2428  


ASTROMAN Magazine – 2018.01.19

Maersk and IBM to Form Joint Venture Applying Blockchain to Improve Global Trade and Digitize Supply Chains

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2427  


ASTROMAN Magazine - 2017.12.06

IBM Unveils Industry's Most Advanced Server Designed for Artificial Intelligence

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2393  



Editor-in-Chief of ASTROMAN magazine: Roman Wojtala, Ph.D.


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