NVIDIA Builds DGX SuperPOD for Autonomous Vehicle Development

June 18, 2019

June 18, 2019 — In a clear demonstration of why AI leadership demands the best compute capabilities, NVIDIA today unveiled the world’s 22nd fastest supercomputer — DGX SuperPOD — which provides AI infrastructure that meets the massive demands of the company’s autonomous-vehicle deployment program.

The system was built in just three weeks with 96 NVIDIA DGX-2H supercomputers and Mellanox interconnect technology. Delivering 9.4 petaflops of processing capability, it has the muscle for training the vast number of deep neural networks required for safe self-driving vehicles.

Customers can buy this system in whole or in part from any DGX-2 partner based on our DGX SuperPOD design.

AI training of self-driving cars is the ultimate compute-intensive challenge.

A single data-collection vehicle generates 1 terabyte of data per hour. Multiply that by years of driving over an entire fleet, and you quickly get to petabytes of data. That data is used to train algorithms on the rules of the road — and to find potential failures in the deep neural networks operating in the vehicle, which are then re-trained in a continuous loop.

“AI leadership demands leadership in compute infrastructure,” said Clement Farabet, vice president of AI infrastructure at NVIDIA. “Few AI challenges are as demanding as training autonomous vehicles, which requires retraining neural networks tens of thousands of times to meet extreme accuracy needs. There’s no substitute for massive processing capability like that of the DGX SuperPOD.”

Powered by 1,536 NVIDIA V100 Tensor Core GPUs interconnected with NVIDIA NVSwitch and Mellanox network fabric, the DGX SuperPOD can tackle data with peerless performance for a supercomputer its size.

The system is hard at work around the clock, optimizing autonomous driving software and retraining neural networks at a much faster turnaround time than previously possible.

For example, the DGX SuperPOD hardware and software platform takes less than two minutes to train ResNet-50. When this AI model came out in 2015, it took 25 days to train on the then state-of-the-art system, a single NVIDIA K80 GPU. DGX SuperPOD delivers results that are 18,000x faster.

While other TOP500 systems with similar performance levels are built from thousands of servers, DGX SuperPOD takes a fraction of the space, roughly 400x smaller than its ranked neighbors.

And NVIDIA DGX systems have already been adopted by other organizations with massive computational needs of their own — ranging from automotive companies such as BMW, Continental, Ford and Zenuity to enterprises including Facebook, Microsoft and Fujifilm, as well as research leaders like Riken and U.S. Department of Energy national labs.

DGX SuperPOD.  Image courtesy of NVIDIA.

Reference Architecture to Build Your Own SuperPOD

A DGX SuperPOD isn’t just lightning fast for running deep learning models.

It’s also remarkably quick to deploy due to its modular, enterprise-grade design.

While systems of this scale often take 6-9 months to deploy, the DGX SuperPOD took just three weeks, with engineers following a prescriptive, validated approach.

Building supercomputers like the DGX SuperPOD has helped NVIDIA learn how to design our systems for large-scale AI machines. It marks an important evolution in supercomputing technology, that’s bringing massive power out of academia and into transportation companies and other industries that want to use high performance computing to accelerate their initiatives.

For organizations that don’t have an AI-ready data center but want to use the NVIDIA SuperPOD architecture to meet their needs, NVIDIA offers simplified, rapid deployment through the DGX-Ready Data Center program.

The company’s data center colocation service providers are on hand to support enterprise customers building and deploying world-class AI data centers based on DGX systems.

Innovation Begins at Home

The DGX SuperPOD isn’t the only in-house NVIDIA system to appear on the TOP500 list of the world’s fastest supercomputers.

NVIDIA’s SATURNV system was the first, debuting in 2016 at the top of the Green500 list, which recognizes the most energy-efficient systems in the world, and 28th on the TOP500.

Since then, the SATURNV Volta (powered by NVIDIA DGX-1 systems) and DGX-2H POD have also been recognized for their tremendous performance levels and efficient power consumption.

NVIDIA GPU-powered devices power 22 of the top 25 supercomputers on the latest Green500 list.


Source: Charlie Boyle, NVIDIA

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!

Watch Nvidia’s GTC21 Keynote with Jensen Huang Livestreamed Here at HPCwire

April 9, 2021

Join HPCwire right here on Monday, April 12, at 8:30 am PT to see the Nvidia GTC21 keynote from Nvidia’s CEO, Jensen Huang, livestreamed in its entirety. Hosted by HPCwire, you can click to join the Huang keynote on our livestream to hear Nvidia’s expected news and... Read more…

The US Places Seven Additional Chinese Supercomputing Entities on Blacklist

April 8, 2021

As tensions between the U.S. and China continue to simmer, the U.S. government today added seven Chinese supercomputing entities to an economic blacklist. The U.S. Entity List bars U.S. firms from supplying key technolog Read more…

Argonne Supercomputing Supports Caterpillar Engine Design

April 8, 2021

Diesel fuels still account for nearly ten percent of all energy-related U.S. carbon emissions – most of them from heavy-duty vehicles like trucks and construction equipment. Energy efficiency is key to these machines, Read more…

Habana’s AI Silicon Comes to San Diego Supercomputer Center

April 8, 2021

Habana Labs, an Intel-owned AI company, has partnered with server maker Supermicro to provide high-performance, high-efficiency AI computing in the form of new training and inference servers that will power the upcoming Read more…

Intel Partners Debut Latest Servers Based on the New Intel Gen 3 ‘Ice Lake’ Xeons

April 7, 2021

Fresh from Intel’s launch of the company’s latest third-generation Xeon Scalable “Ice Lake” processors on April 6 (Tuesday), Intel server partners Cisco, Dell EMC, HPE and Lenovo simultaneously unveiled their first server models built around the latest chips. And though arch-rival AMD may... Read more…

AWS Solution Channel

Volkswagen Passenger Cars Uses NICE DCV for High-Performance 3D Remote Visualization

 

Volkswagen Passenger Cars has been one of the world’s largest car manufacturers for over 70 years. The company delivers more than 6 million automobiles to global customers every year, from 50 production locations on five continents. Read more…

What’s New in HPC Research: Tundra, Fugaku, µHPC & More

April 6, 2021

In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

The US Places Seven Additional Chinese Supercomputing Entities on Blacklist

April 8, 2021

As tensions between the U.S. and China continue to simmer, the U.S. government today added seven Chinese supercomputing entities to an economic blacklist. The U Read more…

Habana’s AI Silicon Comes to San Diego Supercomputer Center

April 8, 2021

Habana Labs, an Intel-owned AI company, has partnered with server maker Supermicro to provide high-performance, high-efficiency AI computing in the form of new Read more…

Intel Partners Debut Latest Servers Based on the New Intel Gen 3 ‘Ice Lake’ Xeons

April 7, 2021

Fresh from Intel’s launch of the company’s latest third-generation Xeon Scalable “Ice Lake” processors on April 6 (Tuesday), Intel server partners Cisco, Dell EMC, HPE and Lenovo simultaneously unveiled their first server models built around the latest chips. And though arch-rival AMD may... Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

RIKEN’s Ongoing COVID Research Includes New Vaccines, New Tests & More

April 6, 2021

RIKEN took the supercomputing world by storm last summer when it launched Fugaku – which became (and remains) the world’s most powerful supercomputer – ne Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

AI Systems Summit Keynote: Brace for System Level Heterogeneity Says de Supinski

April 1, 2021

Heterogeneous computing has quickly come to mean packing a couple of CPUs and one-or-many accelerators, mostly GPUs, onto the same node. Today, a one-such-node system has become the standard AI server offered by dozens of vendors. This is not to diminish the many advances... Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

Programming the Soon-to-Be World’s Fastest Supercomputer, Frontier

January 5, 2021

What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an elite international team in just that task. Chandrasekaran, assistant professor of computer and information sciences, recently was named... Read more…

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

Saudi Aramco Unveils Dammam 7, Its New Top Ten Supercomputer

January 21, 2021

By revenue, oil and gas giant Saudi Aramco is one of the largest companies in the world, and it has historically employed commensurate amounts of supercomputing Read more…

Quantum Computer Start-up IonQ Plans IPO via SPAC

March 8, 2021

IonQ, a Maryland-based quantum computing start-up working with ion trap technology, plans to go public via a Special Purpose Acquisition Company (SPAC) merger a Read more…

Leading Solution Providers

Contributors

Can Deep Learning Replace Numerical Weather Prediction?

March 3, 2021

Numerical weather prediction (NWP) is a mainstay of supercomputing. Some of the first applications of the first supercomputers dealt with climate modeling, and Read more…

Livermore’s El Capitan Supercomputer to Debut HPE ‘Rabbit’ Near Node Local Storage

February 18, 2021

A near node local storage innovation called Rabbit factored heavily into Lawrence Livermore National Laboratory’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan. Details of this new storage technology were revealed... Read more…

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…

African Supercomputing Center Inaugurates ‘Toubkal,’ Most Powerful Supercomputer on the Continent

February 25, 2021

Historically, Africa hasn’t exactly been synonymous with supercomputing. There are only a handful of supercomputers on the continent, with few ranking on the Read more…

The History of Supercomputing vs. COVID-19

March 9, 2021

The COVID-19 pandemic poses a greater challenge to the high-performance computing community than any before. HPCwire's coverage of the supercomputing response t Read more…

HPE Names Justin Hotard New HPC Chief as Pete Ungaro Departs

March 2, 2021

HPE CEO Antonio Neri announced today (March 2, 2021) the appointment of Justin Hotard as general manager of HPC, mission critical solutions and labs, effective Read more…

Microsoft, HPE Bringing AI, Edge, Cloud to Earth Orbit in Preparation for Mars Missions

February 12, 2021

The International Space Station will soon get a delivery of powerful AI, edge and cloud computing tools from HPE and Microsoft Azure to expand technology experi Read more…

AMD Launches Epyc ‘Milan’ with 19 SKUs for HPC, Enterprise and Hyperscale

March 15, 2021

At a virtual launch event held today (Monday), AMD revealed its third-generation Epyc “Milan” CPU lineup: a set of 19 SKUs -- including the flagship 64-core, 280-watt 7763 part --  aimed at HPC, enterprise and cloud workloads. Notably, the third-gen Epyc Milan chips achieve 19 percent... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire