Info
Info

NVIDIA’s Supercomputer supports Self-Driving cars

News

NVIDIA 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 programme.

Info

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, optimising 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 TOP 500 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 neighbours.

NVIDIA DGX systems have already been adopted by other organisations 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 US Department of Energy national labs.


The Latest News, Brought To You By
NVIDIA’s Supercomputer supports Self-Driving cars
Modified on Thursday 20th June 2019
Find all articles related to:
NVIDIA’s Supercomputer supports Self-Driving cars
TaaS Technology Magazine
Info
Oliver Zipse Takes Over As The New Chairman Of BMW AG
Toyota And BYD To Jointly Develop BEVs For China
Hyundai Develops Active Shift Control Transmission For Hybrids To Enhance Fuel Economy
Karamba Security And Alpine Electronics Announce Self-protected In-vehicle Infotainment Systems
Toyota To Specially Design “APM” Mobility Vehicle For Tokyo 2020
Volvo Group And Samsung SDI Enter Strategic Alliance For Battery Cells And Modules
Microsoft And Scope Technology Partner To Advance Connected Car Solutions
Curtiss Unveils The New Hades Model Designed By JT Nesbitt
Lotus Unveils Its All Electric Hypercar, Evija
Audi Carries Out Virtual Testing Of The Assembly Process Of E-tron GT
SEAT’s Carsharing Service Provider Respiro Deploys Natural Gas Hybrid Vehicles
IAC Invests $250 Million In Car Sharing Platform Turo
CATL And Toyota Form A Comprehensive Partnership For EV Batteries
AIWAYS U5 Prototype Begins Its Journey From China To Western Europe
Hyundai Develops Active Shift Control Transmission For Hybrids To Enhance Fuel Economy
Groupe Renault And JMCG Establish JV To Manufacture EVs In China
Toray To Manufacture Battery Separator Film (BSF) In Hungary
BYD ADL Clocks 100 Electric Double Deck Bus Sales In UK
IONITY To Open 40 UK Sites, Each With Up To 6 350 KW HPCs
Protean Develops Advanced Electric-drive ‘corner Module’ Concept For Urban Mobility Pods
Ballard Power Systems Purchases A Fleet Of FCEVs
Preparations Underway At Audi Böllinger Höfe For The Production Of Audi E-tron GT
Zagster Rolls Out Scooter Share Pilot Programme In The City Of Salem
Bolt Mobility Launches In Washington, D.C.
Info
Info
×
Search the news archive

To close this popup you can press escape or click the close icon.
Logo
×
Logo
×
Register - Step 1

You may choose to subscribe to the TaaS Magazine, the TaaS Newsletter, or both. You may also request additional information if required, before submitting your application.


Please subscribe me to:

 

You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in:
 
X
Info
X
Info