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Nvidia ’s GTC conferencekicked off with a series of announcement highlighting its character in advance self-directed drive technology .
The chipmaker leave car manufacturer and self-governing fomite companies with a smattering of Nvidia - branded shaft to help business leader self - force railcar and create digital twins of manufacturing plant . On Tuesday , company including Torc , Gatik , and even General Motors announced architectural plan to use Nvidia products for fomite production , from storage warehouse robotics to automated drive .
To avoid any confusion among the slew of brand names Nvidia has bestow upon its hardware and software tools , here ’s a quick glossary of term :
On top of all that , Nvidia today unveiledHalos , which it defines as an AI - powered safety gadget system for AVs and future physical AI , such as humanoid golem . Halos brings together quite a few of Nvidia ’s lineup of self-propelling hardware and software safety solutions , so think of it as more of an umbrella .
Here ’s a quick roundup of Nvidia ’s self-propelling promulgation from Day 2 of GTC .
General Motors
GM announce it has flesh out itspartnership with Nvidiain a collaboration that touches every aspect of the automaker ’s business , include its factories , robots , and ego - drive cars . rent ’s start with the factories .
GM said it will practice Omniverse with Cosmos to train AI manufacturing modelling and help it build next - generation manufacturing plant . Omniverse will allow GM to build a digital counterpart of its manufacturing plant to virtually quiz newfangled production appendage without disrupt existing fomite production , for lesson . It will also use Omniverse to train robotics weapons platform for surgical procedure like material handling and transport .
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When it comes to ego - driving car , GM said it will use Nvidia ’s Drive AGX for its in - vehicle hardware for future modern number one wood - assistance systems and in - cabin safety equipment experiences .
Gatik
Self - driving truck company Gatik , which is back by Isuzu and Goodyear Ventures , has also joined Nvidia ’s automotive ecosystem . The Silicon Valley and Toronto - based company , which specialise in self-reliant middle - mile logistics via ego - driving corner trucks , say it will develop and deploy Drive AGX , accelerate by Drive Thor , to serve as the AI head across its fleet of trucks . Gatik says it ’s also running its AI mannikin on the DriveOS system for safety .
The startup note that the collaboration will help accelerate the deployment of Level 4 autonomous motortruck at scale for the companionship ’s customer , which admit Walmart , Kroger , and Tyson Foods .
Plus
Plus , an self-directed trucking software startup , said Tuesday it will apply Cosmos world fundament models to accelerate the testing and development of SuperDrive , its autonomous driver .
Plus ’s SuperDrive system of rules is built on top of multiple Nvidia Drive Orin SoCs , according to the company .
“ Today we ’re doing product deployments with Orin and we ’re influence with our supplier on producing Thor systems [ in the futurity ] , ” David Liu , co - founder and CEO of Plus , told TechCrunch .
The startup recently made deals with commercial vehicle manufacturer , include Traton Group , IVECO , and Hyundai to integrate SuperDrive into their truck . Plus , which has been testing its engineering on public roads in Texas and Sweden , has targeted a 2027 commercial launch .
Torc
Yet another self - drive truck companionship , Torc , harbinger it is working with Nvidia to produce a scalable physical AI compute system for its AVs . Virginia - based Torc , a subsidiary of Daimler Truck AG , will also work with Flex , which ramp up self-propelled - grade compute platforms .
Torc says it is using a cocktail of Nvidia poker chip architecture , including Drive AGX , Drive Orin , and DriveOS to support the succeeding deployment of autonomous driving capability as it works toward a2027 commercial launch .
In October 2024 , the company achieved its firstdriver - out teston a closed course in Texas .
Volvo
While Volvo is n’t get together with Nvidia to accelerate its automated driving engineering science , the automaker is relying on Nvidia ’s Blackwell GPUs to power aeromechanics simulations . Better aerodynamics in a vehicle , especially an EV , leads to better battery performance because there ’s reduce puff on the car .
Rather than use Nvidia ’s Omniverse simulator , Volvo is working with Ansys , a computer software feigning company , to get benchmarks on how fast they can perform aerodynamics simulations . Ansys ’s so - call “ Fluent ” simulation software system scat on Nvidia ’s Blackwell GPUs , which the society say supercharges the process .
Together , Volvo and Ansys used a CAD ( computer aid aim ) fashion model for the EX90 as a data point input for Fluent simulations , and this helped Volvo reduce total simulation scarper meter from 24 hour to 6.5 hours , allowing for multiple designing iterations per day , optimize vehicle figure , and accelerated metre to market .
This clause was update to clarify Ansys ’s technologyand Plus ’s exercise of Nvidia potato chip .
