Torc Collaborates with Flex on Physical AI Platform for Autonomous Trucks, Accelerated by NVIDIA
Torc has announced a collaboration with Flex (NASDAQ: FLEX) and NVIDIA to develop a scalable physical AI compute system for autonomous trucks. The partnership combines NVIDIA's DRIVE AGX technology with Flex's Jupiter compute platform and manufacturing capabilities to support Torc's market entry in 2027.
The physical AI system enables self-driving trucks to perceive and navigate surroundings in real-time using lidar, radar, and cameras. The platform was successfully validated through Torc's driverless product acceptance test on a closed course at highway speeds last year. The solution is built on the autonomous-ready Freightliner Cascadia and features a Software Defined Vehicle functionality that adapts to changing operational conditions.
The collaboration leverages NVIDIA DRIVE AGX with DRIVE Orin system-on-a-chip and DriveOS operating system, meeting Torc's requirements for size, performance, cost, and reliability while satisfying fleet customers' total cost of ownership targets for non-stop, long-haul driverless trucking integration.
Torc ha annunciato una collaborazione con Flex (NASDAQ: FLEX) e NVIDIA per sviluppare un sistema di calcolo AI fisico scalabile per camion autonomi. La partnership combina la tecnologia DRIVE AGX di NVIDIA con la piattaforma di calcolo Jupiter di Flex e le capacità di produzione per supportare l'ingresso di Torc nel mercato nel 2027.
Il sistema AI fisico consente ai camion a guida autonoma di percepire e navigare l'ambiente in tempo reale utilizzando lidar, radar e telecamere. La piattaforma è stata validata con successo attraverso il test di accettazione del prodotto senza conducente di Torc su un percorso chiuso a velocità autostradali lo scorso anno. La soluzione è costruita sul Freightliner Cascadia pronto per l'autonomia e presenta una funzionalità di Veicolo Definito dal Software che si adatta alle condizioni operative in cambiamento.
La collaborazione sfrutta NVIDIA DRIVE AGX con il sistema-on-a-chip DRIVE Orin e il sistema operativo DriveOS, soddisfacendo i requisiti di Torc in termini di dimensioni, prestazioni, costi e affidabilità, mentre soddisfa gli obiettivi di costo totale di proprietà dei clienti della flotta per l'integrazione di camion senza conducente a lungo raggio e senza sosta.
Torc ha anunciado una colaboración con Flex (NASDAQ: FLEX) y NVIDIA para desarrollar un sistema de computación AI físico escalable para camiones autónomos. La asociación combina la tecnología DRIVE AGX de NVIDIA con la plataforma de computación Jupiter de Flex y las capacidades de fabricación para apoyar la entrada de Torc en el mercado en 2027.
El sistema AI físico permite que los camiones autónomos perciban y naveguen por su entorno en tiempo real utilizando lidar, radar y cámaras. La plataforma fue validada con éxito a través de la prueba de aceptación del producto sin conductor de Torc en un circuito cerrado a velocidades de autopista el año pasado. La solución está construida sobre el Freightliner Cascadia listo para la autonomía y presenta una funcionalidad de Vehículo Definido por Software que se adapta a las condiciones operativas cambiantes.
La colaboración aprovecha NVIDIA DRIVE AGX con el sistema en chip DRIVE Orin y el sistema operativo DriveOS, cumpliendo con los requisitos de Torc en términos de tamaño, rendimiento, costo y fiabilidad, mientras satisface los objetivos de costo total de propiedad de los clientes de flota para la integración de camiones sin conductor de larga distancia y sin interrupciones.
Torc는 Flex (NASDAQ: FLEX) 및 NVIDIA와 협력하여 자율 트럭을 위한 확장 가능한 물리적 AI 컴퓨팅 시스템을 개발한다고 발표했습니다. 이 파트너십은 NVIDIA의 DRIVE AGX 기술과 Flex의 Jupiter 컴퓨팅 플랫폼 및 제조 능력을 결합하여 Torc의 2027년 시장 진입을 지원합니다.
물리적 AI 시스템은 자율 주행 트럭이 라이다, 레이더 및 카메라를 사용하여 실시간으로 주변을 인식하고 탐색할 수 있게 합니다. 이 플랫폼은 지난해 고속도로 속도로 폐쇄된 코스에서 Torc의 무인 제품 수용 테스트를 통해 성공적으로 검증되었습니다. 이 솔루션은 자율 주행 준비가 된 Freightliner Cascadia를 기반으로 하며, 변화하는 운영 조건에 적응하는 소프트웨어 정의 차량 기능을 갖추고 있습니다.
이 협력은 NVIDIA DRIVE AGX, DRIVE Orin 시스템 온 칩 및 DriveOS 운영 체제를 활용하여 Torc의 크기, 성능, 비용 및 신뢰성 요구 사항을 충족하며, 고객의 총 소유 비용 목표를 만족시키면서 중단 없는 장거리 무인 트럭 통합을 지원합니다.
Torc a annoncé une collaboration avec Flex (NASDAQ: FLEX) et NVIDIA pour développer un système de calcul AI physique évolutif pour les camions autonomes. Ce partenariat combine la technologie DRIVE AGX de NVIDIA avec la plateforme de calcul Jupiter de Flex et les capacités de fabrication pour soutenir l'entrée de Torc sur le marché en 2027.
Le système AI physique permet aux camions autonomes de percevoir et de naviguer dans leur environnement en temps réel grâce à des lidar, radar et caméras. La plateforme a été validée avec succès lors du test d'acceptation du produit sans conducteur de Torc sur un circuit fermé à des vitesses d'autoroute l'année dernière. La solution est construite sur le Freightliner Cascadia prêt pour l'autonomie et dispose d'une fonctionnalité de Véhicule Défini par Logiciel qui s'adapte aux conditions opérationnelles changeantes.
La collaboration tire parti de NVIDIA DRIVE AGX avec le système sur puce DRIVE Orin et le système d'exploitation DriveOS, répondant aux exigences de Torc en matière de taille, performance, coût et fiabilité tout en satisfaisant les objectifs de coût total de possession des clients de la flotte pour l'intégration de camions sans conducteur à long terme et sans interruption.
Torc hat eine Zusammenarbeit mit Flex (NASDAQ: FLEX) und NVIDIA angekündigt, um ein skalierbares physisches KI-Computersystem für autonome Lkw zu entwickeln. Die Partnerschaft kombiniert die DRIVE AGX-Technologie von NVIDIA mit der Jupiter-Computing-Plattform und den Fertigungskapazitäten von Flex, um Torcs Markteintritt im Jahr 2027 zu unterstützen.
Das physische KI-System ermöglicht es selbstfahrenden Lkw, ihre Umgebung in Echtzeit mithilfe von Lidar, Radar und Kameras wahrzunehmen und zu navigieren. Die Plattform wurde im vergangenen Jahr erfolgreich durch den Akzeptanztest des fahrerlosen Produkts von Torc auf einer geschlossenen Strecke bei Autobahngeschwindigkeit validiert. Die Lösung basiert auf dem autonomiefähigen Freightliner Cascadia und verfügt über eine Software-definierte Fahrzeugfunktionalität, die sich an sich ändernde Betriebsbedingungen anpasst.
Die Zusammenarbeit nutzt NVIDIA DRIVE AGX mit dem DRIVE Orin System-on-a-Chip und dem DriveOS-Betriebssystem und erfüllt Torcs Anforderungen an Größe, Leistung, Kosten und Zuverlässigkeit, während sie die Gesamtbetriebskosten der Flottenkunden für die nahtlose Integration von fahrerlosen Langstrecken-Lkw erfüllt.
- Strategic partnership with major tech companies NVIDIA and Flex for autonomous truck development
- Successful validation of the autonomous platform through driverless testing
- Platform designed to meet fleet customers' total cost of ownership targets
- Scalable and adaptable system architecture for various operational conditions
- Long timeline to market entry (2027)
- Complex integration requiring multiple technology partners and systems
Insights
Flex's collaboration with Torc and NVIDIA represents a strategic positioning in the autonomous trucking supply chain, with potential long-term revenue implications. This partnership leverages Flex's Jupiter compute platform and manufacturing capabilities to support Torc's autonomous truck deployment targeted for 2027.
The deal establishes Flex as a critical hardware provider in the autonomous vehicle value chain, specifically addressing the high-performance computing requirements for AI-powered trucks. By integrating with NVIDIA's DRIVE AGX platform, Flex secures a position in what could become a significant growth market as autonomous trucking scales commercially.
From a business model perspective, this represents potential diversification beyond Flex's traditional manufacturing portfolio. The autonomous trucking market has substantial long-term potential, with industry analysts projecting significant growth in this segment over the next decade as regulatory frameworks evolve and technology matures.
While financial terms weren't disclosed, this partnership aligns with Flex's strategy to expand its automotive business segment with higher-margin technology components. The extended timeline (2027 target) indicates this is more of a long-term growth catalyst rather than an immediate revenue driver, requiring investors to take a patient view on returns from this specific initiative.
This partnership showcases Flex's technological capabilities in creating automotive-grade compute platforms that meet the rigorous requirements for autonomous vehicle deployment. The Jupiter compute platform must handle extremely complex workloads while meeting stringent reliability standards for safety-critical applications.
What's technically impressive is the platform's ability to support a software-defined vehicle (SDV) architecture that adapts to changing operational conditions - including new routes, road conditions, and sensor configurations. This adaptability is important for autonomous systems that must continuously evolve through software updates.
Flex's manufacturing expertise becomes particularly valuable in scaling production of these specialized computing systems. Autonomous vehicles require redundant systems and automotive-grade hardware that can withstand harsh environments while maintaining consistent performance - manufacturing challenges that align with Flex's core competencies.
The collaborative approach with NVIDIA's DRIVE AGX and DriveOS creates a complete stack solution rather than isolated components. This integration strategy suggests Flex is positioning beyond basic manufacturing toward more value-added system integration. The platform's validation through driverless testing at highway speeds demonstrates technical maturity, reducing execution risk as the solution progresses toward commercial deployment.
The platform leverages NVIDIA DRIVE AGX with Flex’s Jupiter compute platform and manufacturing capabilities to support Torc’s productization and scaled market entry in 2027
Torc
The physical AI developed at Torc enables self-driving trucks to perceive, understand, and perform complex actions in the real (physical) world. For Torc, physical AI is the core of its software stack that enables trucks to autonomously perceive and navigate their surroundings end-to-end and in real-time using sensors like lidar, radar, and cameras. This allows the truck to make informed decisions about lane changes, braking, and obstacle avoidance to ensure safe and efficient autonomous driving operations and is the first deployment of physical AI for autonomous long-haul trucking at production scale.
Torc collaborated closely with NVIDIA on a multi-chip adaptable architecture that leverages DRIVE AGX using the DRIVE Orin system-on-a-chip (SoC) and DriveOS operating system, and with Flex for their Jupiter compute design platform and advanced manufacturing capabilities. This provides Torc with a scalable high-performance production hardware and software platform based on the autonomous-ready Freightliner Cascadia equipped with advanced technologies and redundant systems designed to support future deployment of autonomous driving capabilities. This platform was successfully validated by Torc's driverless product acceptance test on a closed course at highway speeds last year.
NVIDIA DRIVE solutions, paired with Flex’s automotive compute design capabilities, adhere to Torc’s stringent size, performance, cost, and reliability requirements while meeting the total cost of ownership targets of its fleet customers who are pursuing non-stop, long-haul driverless trucking integration. This work provides a true Software Defined Vehicle (SDV) functionality: it is adaptable to ever changing operational design domains, including new lanes, new routes, new hubs, new hardware and sensor configurations, new operational rules, new road conditions, and more.
“NVIDIA DRIVE AGX has been industry-proven in full production for automotive real-time applications at the edge. It delivers the high compute performance, low latency, and multi-sensor connectivity needed for Torc’s sophisticated autonomous trucking software, delivering robust perception, prediction, and planning for safe and reliable operation,” said Rishi Dhall, Vice President of Automotive at NVIDIA. “Torc is on a clear path to scalable production for its commercial launch in 2027 and working toward a seamless upgrade to NVIDIA DRIVE AGX with DRIVE Thor.”
“Our collaboration with Torc, Daimler Truck, and NVIDIA illustrates how Flex partners across the full ecosystem to enable mobility companies to launch next-generation technology with greater resilience and speed,” said Mike Thoeny, President, Automotive, Flex. “We appreciate the trust Torc and Daimler Truck have placed in Flex through leveraging our Jupiter compute platform and advanced manufacturing capabilities to deliver autonomous long-haul trucking at scale.”
"Using Daimler Truck’s autonomous Freightliner Cascadias with built-in redundancy, our work with NVIDIA and Flex is already providing a stable and proven foundation for Torc's autonomous vehicle technology," said Torc’s CEO, Peter Vaughan Schmidt, "By leveraging NVIDIA’s DRIVE AGX in-vehicle compute and DriveOS, along with Flex’s Jupiter compute platform, we are able to ensure a low-risk, high-confidence path to production that is able to seamlessly transition as NVIDIA’s and Flex’s solutions continue to evolve."
Along with Flex, Torc will showcase the advanced capabilities of the joint solution on its demo truck at NVIDIA’s upcoming GTC event from March 17-21, 2025, in
For more information on Torc, please visit www.torc.ai.
About Torc
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