Intelligence for Interconnect: AI Workloads Demand the Scale, Speed and Versatility of Intel OPA

By Bill Seidle, Group Manager of High Performance Computing & Artificial Intelligence Solutions, HPE

October 24, 2018

When it comes to interconnect fabric, AI, machine learning and deep learning workloads all demand the scale, speed and versatility of Intel® Omni-Path Architecture (OPA) combined with HPE’s complete AI portfolio.

Once merely an academic or pure research pursuit, artificial intelligence (AI) is at the forefront of enterprise IT. AI use cases being developed and implemented currently include fraud detection, cyberattack prevention, voice and image recognition and preventive maintenance.

Entire industries, too, such as oil and gas, are reorienting their business models to accommodate how AI and machine learning are changing their game.[1]

Yet making AI a realistic part of your company’s IT strategy requires a comprehensive, purpose-built portfolio for AI.

HPE and Intel represent a powerful partnership that is making AI work from the edge to the cloud, now and into the future. HPE offers a comprehensive portfolio of compute, storage, networking, software and services, helping customers with AI environments.

Key takeaways on HPE and Intel OPA “better together” AI solutions

-Overlooked question in architecting an AI cluster: What will be your interconnect fabric?

-Intel® Omni-Path Architecture (OPA) represents an important choice for scalable, energy-efficient, and robust AI implementations

-HPE servers and storage interface seamlessly with OPA together offering comprehensive, purpose-built portfolio for AI success

However, there’s an elemental hardware concern across all of these infrastructure components. Indeed, not enough businesses appreciate the value of another factor in securing their AI system’s success:

What fabric will you use to interconnect your AI cluster?

This question is important because when AI systems grow and scale up, as they often do, the fabric that stitches that system together must be able to grow seamlessly too—maintaining its speed, security, agility, versatility and robustness throughout.

Fundamentally, Intel OPA is an interconnect developed originally for high-performance computing (HPC) clusters, whose efficiency and speed in this domain improve scalability and increase density, while reducing latency, cost and power on the frontiers of AI as well.

By contrast, Ethernet—which might operate in a small cluster or AI proof of concept (POC)—was never designed to handle dozens or hundreds of nodes that AI, machine learning (ML) and deep learning (DL) training systems have been known to scale up to.

Moreover, clusters built with OPA can occupy a versatile niche in which they run HPC workloads during the day and compute-intensive deep learning training workloads at night.

Learn more about accelerating AI with high-performance fabrics by registering to watch this webinar.

HPE and Intel OPA: better together

If OPA is the interconnect fabric with which to architect a cutting-edge AI, ML or DL solution, the ideal cluster and storage that it interconnects comes from the same company who helped develop and enhance customized OPA switches and adapters in tandem with Intel.

HPE offers a comprehensive AI portfolio of compute, storage, networking, racks, software and services, helping customers with AI, ML and DL initiatives. HPE Apollo Systems, HPE SGI 8600 and HPE ProLiant Servers interface with OPA seamlessly, providing tight integration, density, low power, lower cost (compared to leading alternative fabric) and performance.

For instance, HPE Apollo 2000 Gen10 System can be used for both training models in the data center and as an inference engine on the edge. The HPE ProLiant XL190r Gen10 Server goes into the HPE Apollo 2000 chassis. This flexible server has two processors and additional PCIe slots in multiple configurations, providing support for additional expansion cards and support for two accelerators per server.

The HPE Apollo 6500 Gen10 System is an ideal HPC and deep learning platform providing superior performance-per-dollar for GPU intensive workloads with up to eight high performance GPUs per node delivering up to 125 TFlops of single precision compute.[2]

Then, for petaflop scale deep learning, the liquid-cooled HPE SGI 8600 delivers leading performance, density and efficiency and is used to train extremely, large deep learning models. The Tokyo Institute of Technology has been one of the most innovative teams of HPE SGI 8600 users, leveraging the OPA interconnect for a range of AI and HPC workloads.

 “Through [their] partnership with SGI, and now HPE, the Tokyo Institute of Technology has worked successfully to deliver a converged world-leading HPC and deep learning platform that can address our requirements and those of our nation.”  – Satoshi Matsuoka, TiTech professor and leader of the team that operates the TSUBAME 3.0 HPE SGI 8600 cluster

To discover how OPA and HPE can offer “better together” AI solutions to accelerate your business today, watch the OPA AI webinar or contact an Intel or HPE sales representative today.

Meet Server Experts blogger Bill Seidle, Group Manager of High Performance Computing & Artificial Intelligence Solutions.  With over 22 years of marketing acumen in the highly competitive field of IT, Bill leads the HPE HPC & AI marketing team, focusing on delivering the best-in-class portfolio to help customers unleash their data insights faster

HPE Resources

Follow @HPE_HPC

HPE on Facebook

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!

How the United States Invests in Supercomputing

November 14, 2018

The CORAL supercomputers Summit and Sierra are now the world's fastest computers and are already contributing to science with early applications. Ahead of SC18, Maciej Chojnowski with ICM at the University of Warsaw discussed the details of the CORAL project with Dr. Dimitri Kusnezov from the U.S. Department of Energy. Read more…

By Maciej Chojnowski

At SC18: Humanitarianism Amid Boom Times for HPC

November 14, 2018

At SC18 in Dallas, the feeling on the ground is one of forward-looking buoyancy. Like boom times that cycle through the Texas oil fields, the HPC industry is enjoying a prosperity seen only every few decades, one driven Read more…

By Doug Black

Nvidia’s Jensen Huang Delivers Vision for the New HPC

November 14, 2018

For nearly two hours on Monday at SC18, Jensen Huang, CEO of Nvidia, presented his expansive view of the future of HPC (and computing in general) as only he can do. Animated. Backstopped by a stream of data charts, produ Read more…

By John Russell

HPE Extreme Performance Solutions

AI Can Be Scary. But Choosing the Wrong Partners Can Be Mortifying!

As you continue to dive deeper into AI, you will discover it is more than just deep learning. AI is an extremely complex set of machine learning, deep learning, reinforcement, and analytics algorithms with varying compute, storage, memory, and communications needs. Read more…

IBM Accelerated Insights

New Data Management Techniques for Intelligent Simulations

The trend in high performance supercomputer design has evolved – from providing maximum compute capability for complex scalable science applications, to capacity computing utilizing efficient, cost-effective computing power for solving a small number of large problems or a large number of small problems. Read more…

New Panasas High Performance Storage Straddles Commercial-Traditional HPC

November 13, 2018

High performance storage vendor Panasas has launched a new version of its ActiveStor product line this morning featuring what the company said is the industry’s first plug-and-play, portable parallel file system that delivers up to 75 Gb/s per rack on industry standard hardware combined with “enterprise-grade reliability and manageability.” Read more…

By Doug Black

How the United States Invests in Supercomputing

November 14, 2018

The CORAL supercomputers Summit and Sierra are now the world's fastest computers and are already contributing to science with early applications. Ahead of SC18, Maciej Chojnowski with ICM at the University of Warsaw discussed the details of the CORAL project with Dr. Dimitri Kusnezov from the U.S. Department of Energy. Read more…

By Maciej Chojnowski

At SC18: Humanitarianism Amid Boom Times for HPC

November 14, 2018

At SC18 in Dallas, the feeling on the ground is one of forward-looking buoyancy. Like boom times that cycle through the Texas oil fields, the HPC industry is en Read more…

By Doug Black

Nvidia’s Jensen Huang Delivers Vision for the New HPC

November 14, 2018

For nearly two hours on Monday at SC18, Jensen Huang, CEO of Nvidia, presented his expansive view of the future of HPC (and computing in general) as only he can Read more…

By John Russell

New Panasas High Performance Storage Straddles Commercial-Traditional HPC

November 13, 2018

High performance storage vendor Panasas has launched a new version of its ActiveStor product line this morning featuring what the company said is the industry’s first plug-and-play, portable parallel file system that delivers up to 75 Gb/s per rack on industry standard hardware combined with “enterprise-grade reliability and manageability.” Read more…

By Doug Black

SC18 Student Cluster Competition – Revealing the Field

November 13, 2018

It’s November again and we’re almost ready for the kick-off of one of the greatest computer sports events in the world – the SC Student Cluster Competitio Read more…

By Dan Olds

US Leads Supercomputing with #1, #2 Systems & Petascale Arm

November 12, 2018

The 31st Supercomputing Conference (SC) - commemorating 30 years since the first Supercomputing in 1988 - kicked off in Dallas yesterday, taking over the Kay Ba Read more…

By Tiffany Trader

OpenACC Talks Up Summit and Community Momentum at SC18

November 12, 2018

OpenACC – the directives-based parallel programing model for optimizing applications on heterogeneous architectures – is showcasing user traction and HPC im Read more…

By John Russell

How ASCI Revolutionized the World of High-Performance Computing and Advanced Modeling and Simulation

November 9, 2018

The 1993 Supercomputing Conference was held in Portland, Oregon. That conference and it’s show floor provided a good snapshot of the uncertainty that U.S. supercomputing was facing in the early 1990s. Many of the companies exhibiting that year would soon be gone, either bankrupt or acquired by somebody else. Read more…

By Alex R. Larzelere

Cray Unveils Shasta, Lands NERSC-9 Contract

October 30, 2018

Cray revealed today the details of its next-gen supercomputing architecture, Shasta, selected to be the next flagship system at NERSC. We've known of the code-name "Shasta" since the Argonne slice of the CORAL project was announced in 2015 and although the details of that plan have changed considerably, Cray didn't slow down its timeline for Shasta. Read more…

By Tiffany Trader

TACC Wins Next NSF-funded Major Supercomputer

July 30, 2018

The Texas Advanced Computing Center (TACC) has won the next NSF-funded big supercomputer beating out rivals including the National Center for Supercomputing Ap Read more…

By John Russell

IBM at Hot Chips: What’s Next for Power

August 23, 2018

With processor, memory and networking technologies all racing to fill in for an ailing Moore’s law, the era of the heterogeneous datacenter is well underway, Read more…

By Tiffany Trader

Requiem for a Phi: Knights Landing Discontinued

July 25, 2018

On Monday, Intel made public its end of life strategy for the Knights Landing "KNL" Phi product set. The announcement makes official what has already been wide Read more…

By Tiffany Trader

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

By John Russell

Leading Solution Providers

US Leads Supercomputing with #1, #2 Systems & Petascale Arm

November 12, 2018

The 31st Supercomputing Conference (SC) - commemorating 30 years since the first Supercomputing in 1988 - kicked off in Dallas yesterday, taking over the Kay Ba Read more…

By Tiffany Trader

TACC’s ‘Frontera’ Supercomputer Expands Horizon for Extreme-Scale Science

August 29, 2018

The National Science Foundation and the Texas Advanced Computing Center announced today that a new system, called Frontera, will overtake Stampede 2 as the fast Read more…

By Tiffany Trader

HPE No. 1, IBM Surges, in ‘Bucking Bronco’ High Performance Server Market

September 27, 2018

Riding healthy U.S. and global economies, strong demand for AI-capable hardware and other tailwind trends, the high performance computing server market jumped 28 percent in the second quarter 2018 to $3.7 billion, up from $2.9 billion for the same period last year, according to industry analyst firm Hyperion Research. Read more…

By Doug Black

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

Germany Celebrates Launch of Two Fastest Supercomputers

September 26, 2018

The new high-performance computer SuperMUC-NG at the Leibniz Supercomputing Center (LRZ) in Garching is the fastest computer in Germany and one of the fastest i Read more…

By Tiffany Trader

Houston to Field Massive, ‘Geophysically Configured’ Cloud Supercomputer

October 11, 2018

Based on some news stories out today, one might get the impression that the next system to crack number one on the Top500 would be an industrial oil and gas mon Read more…

By Tiffany Trader

MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?

May 2, 2018

Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – releas Read more…

By John Russell

Google Releases Machine Learning “What-If” Analysis Tool

September 12, 2018

Training machine learning models has long been time-consuming process. Yesterday, Google released a “What-If Tool” for probing how data point changes affect a model’s prediction. The new tool is being launched as a new feature of the open source TensorBoard web application... Read more…

By John Russell

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