Automotive NVIDIA GTC News: Voxel51, Plus, SoundHound AI, MNIVISION, Lenovo, ArcBest, NIO, Polestar, Lucid, Waabi & Nuro.

In NVIDIA GTC Automotive news are Voxel51, Plus, SoundHound AI, MNIVISION, Lenovo, ArcBest, NIO, Polestar, Lucid, WeRide and Nuro.

NVIDIA founder and CEO Jensen Huang  revealed that NVIDIA DRIVE Thor, which combines advanced driver assistance technology and in-vehicle infotainment, now features the newly announced NVIDIA Blackwell GPU architecture for transformer and generative AI workloads.

Following the keynote, top EV makers shared how they will integrate DRIVE Thor into their vehicles. BYD, the world’s largest electric vehicle maker, is expanding its ongoing collaboration with NVIDIA and building its next-generation EV fleets on DRIVE Thor. Hyper, a premium luxury brand owned by GAC AION, is announcing it has selected DRIVE Thor for its new models, which will begin production in 2025. XPENG will use DRIVE Thor as the AI brain of its next-generation EV fleets. These EV makers join Li Auto and ZEEKR, which previously announced they’re building their future vehicle roadmaps on DRIVE Thor.

Additionally, trucking, robotaxis and goods delivery vehicle makers are announcing support for DRIVE Thor. Nuro is choosing DRIVE Thor to power the Nuro Driver. Plus is announcing that future generations of its level 4 solution, SuperDrive, will run on DRIVE Thor. Waabi is  leveraging DRIVE Thor to deliver the first generative AI-powered autonomous trucking solution to market. WeRide, in cooperation with tier 1 partner Lenovo Vehicle Computing, is creating level 4 autonomous driving solutions for commercial applications built on DRIVE Thor.

And, is unveiling its new smart driving architecture powered by NVIDIA DRIVE Thor, scheduled to launch next year.

Voxel51 AI & Omniverse

Voxel51, a leader in data-centric AI software, today announced the integration of its FiftyOne computer vision platform with NVIDIA Omniverse, a platform of application programming interfaces (APIs), software development kits (SDKs) and services for 3D applications such as autonomous vehicle (AV) simulation. The integration will deliver powerful new capabilities that enable AV developers to create, curate, and visualize robust synthetic training data to maximize AI model performance.

The core technologies driving the expanded AV data workflow are FiftyOne by Voxel51 and NVIDIA Omniverse Cloud APIs. FiftyOne provides AI builders with a comprehensive suite of capabilities to efficiently and systematically analyze and optimize their datasets and models. NVIDIA Omniverse Cloud APIs provide high-fidelity and physically based sensor simulation and realistic behavior at cloud scale. Simulation developers can seamlessly integrate these capabilities into existing simulation workflows to accelerate AV development.

“Perception models are only as good as the data they’re trained on. That’s why we believe the cornerstone of building production-ready models is the careful curation of the high-quality data needed for those models to thrive,” said Brian Moore, Co-Founder and CEO of Voxel51. “By seamlessly integrating FiftyOne and NVIDIA Omniverse Cloud APIs, we’re equipping AV teams with the world-class simulation capabilities and data-centric AI tooling they need to build production-ready automated driving experiences.”

“A rich ecosystem is critical for safe autonomous vehicle development,” said Zvi Greenstein, Vice President of AV Infrastructure at NVIDIA. “The FiftyOne platform will bring seamless data visualization to AV developers relying on high-fidelity, physically based sensor simulation delivered via Omniverse AV Sim APIs, helping them tailor datasets for their training and testing needs.”

Key benefits of this integration include simplified data generation and analysis, multi-sensor visualization, support for converting data to common computer vision formats, and unstructured data exploration.

FiftyOne has been widely adopted for AI use cases across industries, including automotive, robotics, security, retail, finance and healthcare. The Omniverse APIs integrated in it can be applied to industries and use cases in need of scalable, high-fidelity simulation, such as robotics and manufacturing.

“We are very excited to showcase FiftyOne’s integration with Omniverse at NVIDIA GTC, and we believe this is going to be a game-changer for our AV customers,” said Robert Wright, Sales & Partnerships at Voxel51.

To learn more about this integration, join Voxel51 at booth 632 in the Automotive Pavilion at NVIDIA GTC, a global AI conference, through March 21.

Plus Runs on NVIDIA DRIVE Thor

Plus, a global provider of autonomous driving software solutions, is collaborating with NVIDIA on the advanced development of its AI-driven vision models. Plus’s state-of-the-art vision models, will run on the NVIDIA DRIVE Thor™ by automotive-grade and safety-compliant compute platform for future generations of Plus’s Level 4 solution, SuperDrive™.

Plus’s cutting-edge proprietary autonomous driving software identifies objects nearby, plans a vehicle’s course, predicts the movement of those objects, and then safely controls and moves the vehicle. The system is made possible by Plus’s state-of-the-art performance in birds-eye view (BEV) and 3D occupancy detections with multi-view camera input, which is achieved using transformers. The system is trained on NVIDIA’s market-leading data center AI solutions.

NVIDIA DRIVE Thor, the next-generation system-on-a-chip (SoC) for autonomous vehicles, features the new NVIDIA Blackwell architecture, designed for transformer, LLM and generative AI workloads, and processes up to 1,000 trillion floating-point operations every second (teraflops). This immense computing power will be used to help the Plus autonomous driving system understand the world around the vehicle and make safe driving decisions.

“As we continue to build on the latest advancements in AI to achieve a fully autonomous driving system, the technical performance and automotive-grade assurance provided by NVIDIA DRIVE Thor are extremely important,” said Tim Daly, Chief Architect and Co-Founder at Plus. “Hub-to-hub trucking operations require extensive and complex AI workloads on the L4 autonomous system. We are excited to work closely with NVIDIA to fully harness the capabilities of the transformer engine on DRIVE Thor to advance the development of Plus’s deep neural networks and next-generation vision models.”

NVIDIA DRIVE Thor is designed for the highest level of functional safety, ASIL D, which is vital for safety-critical applications like autonomous vehicles. Plus will utilize DRIVE Thor’s chip-level and system-level safety features, and the functionally safe DRIVE OS, as part of Plus’s overall safety concept and framework for safely and securely deploying future generations of SuperDrive.

“We are at the cusp of a transformative shift in the transportation sector, driven by accelerated computing and AI,” said Rishi Dhall, Vice President of Automotive at NVIDIA. “Plus’s SuperDrive platform, powered by NVIDIA DRIVE Thor, will seamlessly manage the extensive onboard perception tasks essential for safe, robust self-driving trucks.”

SoundHoundAI LLM In-Vehicle Voice Assistant in NVIDIA DRIVE

SoundHound AI, Inc. (Nasdaq: SOUN), a global leader in voice artificial intelligence, today announced an innovative in-vehicle voice assistant that uses a large language model (LLM) completely on the edge while running on the NVIDIA DRIVE platform.

This marks a new chapter for generative AI, proving that the powerful technology can still deliver optimal results in the absence of cloud connectivity. SoundHound’s work with NVIDIA will allow it to significantly expand the number of places and situations that generative AI can be deployed.

NVIDIA DRIVE will enable SoundHound Chat AI – a breakthrough in-vehicle voice platform that combines both real-time and generative AI capabilities – to provide responses even when there is no connectivity.

Among a range of use cases, the new solution will let drivers access SoundHound Vehicle Intelligence, a product that instantly delivers information directly from the car manual and other relevant data sources using natural speech.

Vehicle Intelligence understands a verbal request and seamlessly provides answers – including settings, safety, troubleshooting, and vehicle maintenance – without the need for a cumbersome physical document. Examples include:

  • “I see a flashing light that looks like a car battery and I’m not sure what that means?”
  • “What does the ‘auto hold’ button do?”
  • How do I use that feature that lets me drive hands-free safely?

In addition to Vehicle Intelligence, users can ask more general questions that can help drivers plan a trip or a vacation, such as:

  • “Where are the best locations to take photographs on the Pacific Coast Highway?”
  • “Which wineries offer riesling in Carmel Valley?”
  • “What kinds of dishes count as Californian cuisine?”

This cutting-edge technology opens up huge opportunities for automakers looking to give drivers rapid voice-enabled access to LLM capabilities with the added benefit of greater privacy, flexibility, and lower operating costs.

“Together with NVIDIA, we’re marrying the incredible capabilities of generative AI with all the advantages of edge computing,” said Mike Zagorsek, COO of SoundHound AI. “The net result is a fast and private voice experience with seamless results. And with this new level of adaptability, the possibilities are endless.”

“We’re working with innovative partners like SoundHound to bring generative AI and accelerated compute into the car – enhancing the occupant experience and bringing greater safety behind the wheel,” said Rishi Dhall, Vice President of Automotive at NVIDIA. “SoundHound’s in-vehicle voice interface, powered by NVIDIA DRIVE, can provide drivers with fast, accurate information, even when there’s no connection.”

SoundHound AI offers a selection of on-device edge voice solutions that allow automakers to grant their end-users greater levels of privacy by keeping data stored locally.

MNIVISION OX08D10 8-megapixel CMOS

MNIVISION, a leading global developer of semiconductor solutions, including advanced digital imaging, analog and touch and display technology, today announced that its OX08D10 8-megapixel CMOS image sensor with TheiaCel™ technology is now compatible with the NVIDIA Omniverse™ development platform. OMNIVISION is demonstrating the solution at booth 636 during NVIDIA GTC, taking place through March 21 at the San Jose Convention Center.

NVIDIA Omniverse is a platform of application programming interfaces (APIs), software development kits (SDKs) and services that enables developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D applications and services. Such applications include high-fidelity, physically based simulation for accelerated autonomous vehicle (AV) development.

The recently announced OX08D10 is the first image sensor that features OMNIVISION’s new 2.1-micron (µm) TheiaCel™ technology, which harnesses the capabilities of next-generation lateral overflow integration capacitors (LOFIC) and OMNIVISION’s DCG™ high dynamic range (HDR) technology to accurately capture LED lights without any flickering artifact for nearly all driving conditions. TheiaCel™ enables the OX08D10 to achieve HDR image capture at up to 200 meters. This range is the sweet spot for delivering the best balance between SNR1 and dynamic range and is optimal for automotive exterior camera applications. The OX08D10 features industry-leading low-light performance and low power consumption in a compact size that is 50% smaller than other exterior cabin sensors in its class.

“The OX08D10 is OMNIVISION’s flagship image sensor that features our TheiaCel™ technology, ushering in a new era to low-light sensitivity in an easy-to-implement solution that yields dramatic improvements in image quality,” said Dr. Paul Wu, head of automotive product marketing, OMNIVISION. “We are proud to be part of the ecosystem of NVIDIA partners who are working together to accelerate AV development. Today, we are excited to announce that the OX08D10 is now compatible with NVIDIA Omniverse, a powerful platform for high-fidelity sensor simulation capabilities, reducing automotive OEM development efforts and cost.”

The new OX08D10 features OMNIVISION’s a-CSP™ package technology for the smallest possible solution available today. Samples are available now, and the OX08D10 will be in mass production in the second half of 2024. For more information, contact an OMNIVISION sales representative: To schedule a demonstration with OMNIVISION at NVIDIA GTC, please visit

Lenovo Hybird AI with NVIDIA

-Today, at NVIDIA GTC, a global AI conference, Lenovo announced new hybrid AI solutions, built in collaboration with NVIDIA, that deliver the power of tailored generative AI applications to every enterprise and cloud, bringing transformational capabilities to every industry. Stemming from the expanded engineering collaboration announced with NVIDIA during Lenovo Tech World, the innovations help enterprises and cloud providers with the critical accelerated computing capabilities needed to succeed in the AI era, taking AI from concept to reality and empowering businesses to efficiently develop and deploy new AI use cases that drive innovation, digitalization and growth.

The hybrid solutions are purpose built through engineering collaboration to efficiently bring AI to customer data, where and when users need it the most – from the pocket to the cloud – advancing Lenovo’s vision to enable AI for all and delivering time to market support of breakthrough architecture for the next generation of massive scale generative AI. Lenovo hybrid solutions, already optimized to run NVIDIA AI Enterprise software for secure, supported and stable production AI, will now also provide developers access to the just-announced NVIDIA microservices, including NVIDIA NIM and NeMo Retriever.

“Lenovo’s work with NVIDIA is pushing the boundaries of augmented intelligence for businesses everywhere, taking AI compute to where their data lives with a comprehensive portfolio of cutting-edge, hybrid AI solutions that will power generative AI from virtually anywhere while supporting sustainability efforts,” said Kirk Skaugen, President of Lenovo Infrastructure Solutions Group. “We are at an inflection point where new AI use cases are coming to market based on improvements in real-time computing, power efficiency and ease of deployment. Through our partnership with NVIDIA, we are delivering groundbreaking advancements in efficiency, performance, and cost that are accelerating AI applications across every industry and helping businesses immediately use insights from their data sets, whether for upgrading the retail experience, reimagining our cities, or unlocking the next level of smart manufacturing.”

“AI is a powerful force helping businesses unlock new insights from their data and enhance productivity,” said Bob Pette, Vice President of Enterprise Platforms at NVIDIA. “Lenovo’s new enterprise AI solutions, integrated with NVIDIA technology, demonstrate a pivotal milestone in supercharging compute performance for AI, delivering hybrid systems that businesses can rely on to power generative AI from virtually anywhere.”

As industries around the globe seek to use AI for analyzing vast bodies of data, power efficiency remains crucial to making the rollout of these compute-intensive workloads accessible for all businesses. Lenovo has been at the forefront of enabling efficient, high-power computing without compromise, pioneering Lenovo NeptuneTM liquid cooling technology and ranking #1 on the Green500 list for cutting-edge designs powered by NVIDIA GPUs that accelerate computing capabilities while keeping things cool even in high-heat, multi-GPU environments.

Lenovo ThinkSystem AI Servers: Catapulting Generative AI Inference and Efficiency with NVIDIA

Marking a game-changing milestone in efficiently supercharging AI-workloads at scale, Lenovo unveiled the expansion of the Lenovo ThinkSystem AI portfolio, featuring two new powerful 8-way NVIDIA GPU systems that are purpose-built to deliver massive computational capabilities with uncompromised power efficiency to accelerate AI implementation. Engineered for generative AI, natural language processing (NLP), and large language model (LLM) development, with time-to-market support for the NVIDIA HGX AI supercomputing platform, including NVIDIA H100 and H200 Tensor Core GPUs and the all-new NVIDIA Grace Blackwell GB200 Superchip, as well as the advanced, next-generation NVIDIA Quantum-X800 InfiniBand and Spectrum-X800 Ethernet networking platforms.

Lenovo ThinkSystem AI servers with NVIDIA B200 Tensor Core GPUs are set to power the new era of generative AI. The NVIDIA Blackwell architecture’s generative AI Engine, alongside the faster NVIDIA NVLink interconnect and enhanced security capabilities, propel the data center into a new era. With up to 25X more real-time inference to accelerate trillion-parameter language models, B200 GPUs are designed for the most demanding AI, data analytics and HPC workloads.

With an ultra-efficient power usage effectiveness (PUE) of 1.1., the new Lenovo ThinkSystem SR780a V3 is a 5U system that uses Lenovo Neptune™ liquid cooling. By using direct water cooling of CPU and GPUs and NVIDIA NVSwitch technology, the system can sustain maximum performance without hitting any thermal limits. For more than a decade, Lenovo’s industry-leading Lenovo Neptune direct water-cooling solution, which recycles loops of warm water to cool data center systems, enabling customers to realize up to a 40% reduction in power consumption and a 3.5x improvement in thermal efficiencies compared to traditional air-cooled systems. As an industry metric used to determine the energy efficiency of a data center, PUE and power consumption are among the top-tracked sustainability methods, according to the “Uptime Institute Annual Global Data Center Survey 2021.” Because liquid cooling provides a more energy-efficient alternative to air, the system can drive higher sustained performance while consuming less energy. It also allows the ThinkSystem SR780a to fit in a dense 5U package, helping to conserve valuable data center real estate.

Also accelerating the portfolio, the new Lenovo ThinkSystem SR680a V3 is an air-cooled, two-socket system built for maximum acceleration for complex AI with Intel processors and a choice of NVIDIA GPUs. The highly accelerated systems deliver massive computational capability and use industry-standard 19-inch server racks, allowing for dense hardware configurations that maximize efficiency without occupying excessive floor space or requiring shelving.

Lenovo also showcased a new Lenovo PG8A0N – the ultimate 1U node for AI and featuring open-loop liquid cooling for accelerators, supporting the NVIDIA GB200 Grace Blackwell Superchip. The new GB200 arrives to power a new era of computing. The superchip delivers 45X faster real-time large language model (LLM) inference, 40X lower TCO, and 40X less energy. In close collaboration with NVIDIA, Lenovo will deliver GB200 rack systems that supercharge AI training, data processing, engineering design and simulation.

Customers can run NVIDIA AI Enterprise, an end-to-end cloud-native software platform for the development and deployment of production-grade AI applications, on Lenovo’s portfolio of NVIDIA-Certified Systems. For high-performance inference on popular AI models from NVIDIA and its ecosystem, customers can run the NVIDIA NIM inference microservices included in NVIDIA AI Enterprise on Lenovo enterprise infrastructure.

The portfolio includes Lenovo’s XClarity Systems Management, giving businesses a simplified and centralized resource management system, as well as Lenovo’s Intelligent Computing Orchestration (LiCO), a unified platform that streamlines use of clustered computing resources for AI model development and training and HPC workloads. The portfolio also supports the 4th and 5th generation of Intel Xeon Scalable Processors and provides thermal headroom for future higher-power GPUs.

Co-Designed NVIDIA MGX Solutions: Bringing Custom AI, NVIDIA Omniverse and HPC to CSPs and Enterprise

Lenovo is the leading provider of workstation-to-cloud support for designing, engineering and powering NVIDIA OVX systems and the NVIDIA Omniverse development platform. To help companies quickly build and deploy a wide range of purpose-built AI, HPC and Omniverse applications, Lenovo is partnering with NVIDIA to build accelerated models faster using NVIDIA MGX modular reference designs. Leveraging the designs, cloud service providers receive customized models faster with the delivery of accelerated computing for AI and Omniverse workloads economically and at scale. Including time-to-market support for the NVIDIA H200 GPU, the systems will enable scientists and researchers to tackle the world’s most challenging problems by accelerating complex AI and HPC applications running terabytes of data.

Lenovo’s new offerings built with the NVIDIA MGX modular reference server design include:

  • New Lenovo HG630N – MGX 1U – an open-standard server with Lenovo Neptune direct liquid cooling to reduce power consumption while supporting the highest-performing GPUs.
  • New Lenovo HG650N – MGX 2U – a highly modular, GPU-optimized system that is air-cooled, supports industry-standard racks and enables NVIDIA GH200 Grace Hopper Superchip deployments.
  • New Lenovo HG660X V3 – MGX 4U – a system that supports up to 8 600W NVIDIA GPUs in an air-cooled environment, ideal for NVIDIA Omniverse and AI workloads. Lenovo is a NVIDIA design partner for MGX 4U.
  • New Lenovo HR650N – MGX 2U – a high-performing Arm CPU server with multiple cores and flexibility for storage and Front IO, leveraging the energy-efficient NVIDIAGrace CPU Superchip and supporting DPUs.

Lenovo ThinkStation Workstations with NVIDIA RTX: Generative AI at Your Fingertips

Lenovo enhances its data science workstations by offering up to 4x NVIDIA RTX 6000 Ada Generation GPUs for large AI training, fine-tuning, inferencing, and accelerated graphics-intensive workloads. This offers greater AI developer productivity through automated workflows:

  • New Lenovo Workstations with NVIDIA AI Workbench is a software tool that enables the development and deployment of powerful AI solutions for inferencing, large-scale simulation, and demanding industrial and scientific workflows. NVIDIA AI Workbench makes generative AI and machine learning development easy for all developers.
  • Now available in Lenovo ThinkStation and ThinkPad workstations, the new NVIDIA A800 GPU designed specifically for AI enables secure, personal data science and Gen AI environments for organizations working with all kinds of AI Workflows.

Lenovo ThinkStation PX with dual CPUs and up to 4x NVIDIA RTX professional graphics cards is the most powerful workstation on the market today. Lenovo’s AI-ready ThinkStation desktop and ThinkPad mobile workstation portfolio offers the broadest and most powerful workstations for AI to tackle the most intensive real-time AI solution development. ​Learn more about Lenovo workstations and AI workflows today.

Lenovo Professional Services: Fast Tracking AI Journey and Accelerating Industry Advancement

Lenovo’s real-time solutions powered by NVIDIA are using AI and Lenovo infrastructure to help customers accelerate smarter futures and realize new potential across industries. In retail, these solutions are analyzing customer movement and behavior to improve traffic flow and better manage inventory in real time. In manufacturing, integrated Lenovo and NVIDIA solutions help improve safety between workers and machines by refining assembly line inspection processes. Across cities, integrated Lenovo edge AI solutions are helping city planners to get the most out of data by optimizing space, infrastructure and asset utilization to help manage people in traffic flows and reduce power consumption.

Lenovo’s newly announced AI Services Center Of Excellence (COE) combines business advisors, data scientists, and AI-optimized infrastructure as-a-service to maximize outcomes, meeting customers where they are on their AI journey. Following Lenovo’s proven AI-readiness methodology covering security, people, process, and technology, the AI COE offers the expertise and capabilities to enable businesses to fast-track their journey to implementing powerful, responsible, and sustainable AI. Lenovo’s new AI professional services offerings include:

  • New AI Discover – Helps customers uncover the “art of the possible” for AI. By conducting interactive workshops and assessments, looking across the entire ecosystem, and mapping out the AI strategy, Lenovo builds the blueprint for AI success.
  • New Fast Start Generative AI services with NVIDIA – Leverages powerful data insights and achieves a competitive advantage with Generative AI. Lenovo offers full-stack solutions to support the complete product lifecycle, plus services to implement, adopt, and scale Generative AI solutions.
  • New TruScale GenAI As-A-Service – Provides AI capabilities through an as a service model which increases flexibility, scalability and predictability. With Lenovo TruScale, infrastructure is always right sized to procure, deploy and manage AI Innovation.
  • Enhanced Professional Services for AI – Helps customers accelerate their AI transformation by providing business advisors, data scientists, and AI-optimized infrastructure-as-a-service, ensuring a seamless utilization of sustainable AI.

See new products, technologies, and initiatives shaping the future of AI at NVIDIA GTC, running March 18-21 at the San Jose Convention Center and online here. For more information on how Lenovo is working with NVIDIA toward a smarter, faster future, visit

ArcBest NVIDIA Isaac Preceptor for Autonomous Factories

ArcBest® (Nasdaq: ARCB), a leading logistics company, announced a collaboration with NVIDIA that uses the NVIDIA Isaac Perceptor to improve safety and efficiency in material-handling processes across warehouses, distribution centers and manufacturing facilities.

ArcBest is bringing the NVIDIA Isaac Perceptor platform for AMRs — cutting-edge machine vision technology — to its newly launched Vaux Smart Autonomy™ autonomous forklifts and reach trucks. The Isaac Perceptor modular perception stack brings 3D-surround perception, enabling a robot to better recognize objects, track human motion and make informed decisions that guide its path, for safer, more flexible and more efficient operations.

“Innovation is critical to our long-term growth strategy and our customers’ success,” said Judy R. McReynolds, ArcBest chairman, president and CEO. “This collaboration with NVIDIA enhances our AI and technology capabilities, which helps us better serve our customers and drive the global supply chain forward.”

Continuous improvements to support customer needs

With a constantly evolving economic environment, today’s supply chains are more complex than ever. Customers across industries need logistics providers to develop innovations to solve their most pressing challenges — now and in the future.

While Vaux Smart Autonomy’s current perception technology can handle real-world environments, Isaac Perceptor’s capabilities include cost-effective, targeted obstacle perception in a user’s intended target environments. This enables more accurate movements in unpredictable conditions, better obstacle avoidance and an overall safer environment. It also improves localization in dynamic environments such as bulk stacking or cross-dock warehouse facilities by utilizing a vision-based 3D view of its surroundings.

“Today’s material handling environment can be incredibly complex, with variability in the facility and products. Customers have expressed a need for greater efficiency and improved safety,” said Michael Newcity, chief innovation officer of ArcBest and president of ArcBest Technologies. “Our shift from 3D LiDAR sensors to visual AI technology is part of our continual progress and another step towards addressing these challenges. This advanced technology is not being used by any other robotics company in the logistics space, making our solution truly leading edge.”

Isaac Perceptor generates over 16.5 million 3D points per second per camera, enabling precise depth perception of obstacles, and therefore 3D occupancy mapping, for more efficient and safer material handling processes. This technology is also more cost effective than current 3D LiDAR sensors.

Vaux Smart Autonomy — looking ahead

ArcBest recently launched the company’s next step in its revolutionary Vaux suite: Vaux Smart Autonomy. The offering combines AMR forklifts and reach trucks, intelligent software and remote teleoperation capabilities to automate materials movement within warehouses, distribution centers and manufacturing facilities — all while keeping humans in the loop.

The company is committed to redefining industrial automation, empowering partners and customers with unprecedented productivity and adaptability as it evolves. Watch the short video at to see Vaux Smart Autonomy’s full capabilities. For additional details on the complete Vaux suite, visit To learn more about ArcBest’s full scope of industry-leading technologies, go to

Next-Generation Tech on the Show Floor

The GTC exhibit hall is buzzing with excitement as companies showcase the newest vehicle models and offer technology demonstrations.

Attendees have the opportunity to see firsthand the latest NVIDIA-powered vehicles on display,  including Lucid Air, Mercedes-Benz Concept CLA Class, Nuro R3, Polestar 3, Volvo EX90, WeRide Robobus, and an Aurora truck. The Lucid Air is available for test drives during the week.

A wide array of companies are showcasing innovative automotive technology at GTC, including Foretellix, Luminar and MediaTek, which is launching its Dimensity Auto Cockpit chipsets at the show. The new solutions harness NVIDIA’s graphics and AI technologies to help deliver state-of-the-art in-vehicle user experiences, added safety and security capabilities.

Also Announced at GTC: Omniverse Cloud APIs, Generative AI

  • Omniverse Cloud APIs, announced today at NVIDIA GTC, are poised to accelerate the path to autonomy by enabling high-fidelity sensor simulation for AV development and validation. Developers and software vendors such as CARLA, MathWorks, MITRE, Foretellix and Voxel51 underscore the broad appeal of these APIs in autonomous vehicles.
  • Generative AI developers including Cerence, Geely, Li Auto, NIO, SoundHound, Tata Consulting Services and Wayve announced plans to transform the in-vehicle experience by using NVIDIA’s cloud-to-edge technology to help develop intelligent AI assistants, driver and passenger monitoring, scene understanding and more.

AI and Automotive Sessions Available Live and on Demand

Throughout the week, the world’s foremost experts on automotive technology will lead a broad array of sessions and panels at GTC, including:

On DRIVE Developer Day, taking place Thursday, March 21, NVIDIA’s engineering experts will highlight the latest DRIVE features and developments through a series of deep-dive sessions on how to build safe and robust self-driving systems.

See the full schedule of automotive programming at GTC and be sure to tune in.