Ola Electric, one of India’s largest EV company, has launched the Ola Digital Twin platform, which it claims will transform manufacturing processes and product development lifecycle.

Developed on the Nvidia Omniverse, the Ola Digital Twin platform integrates Krutrim AI and Nvidia technologies along with other advanced simulation tools and IoT platforms to create comprehensive digital twin environments.

This the company says fast-track the planning of Ola Electric’s manufacturing facilities and optimise equipment layouts, product development lifecycles, and the building of computer vision-based quality-inspection systems.

The platform also leverages physically accurate simulations and generative AI for tasks ranging from kinematics simulations to generating synthetic image data for training autonomous mobile robots (AMRs) and robotic arms.

By integrating Nvidia Omniverse — a platform of application programming interfaces (APIs), software development kits and services that enable developers to harness Universal Scene Description (OpenUSD) for physical AI — as well as Nvidia Isaac Sim — a reference simulation platform built on Omniverse for designing and testing robots — Ola Electric claims it has achieved over 20 percent faster time to market from design to commissioning, for manufacturing operations at its Futurefactory.

Ola Electric has also leveraged Ola Digital Twin in its autonomous robotic weld lines at the Futurefactory, to simulate the welding processes and quality inspection systems. This enables virtual deployment and testing of changes before implementing them in the physical world.

Developers at Ola use Ola Digital Twin’s generative AI capabilities and Nvidia Omniverse APIs to generate synthetic assets, including lighting, environmental scenes, objects and defects, which help accelerate perception AI model training from months to weeks, while accounting for scenarios otherwise impossible to safely replicate in the real world. The platform also features thermal simulation capabilities for building next-generation Ola Krutrim data centers and liquid-cooling infrastructure.

In addition to this, Ola Consumer is using Nvidia Isaac Sim to train its robot pick-and-place applications for complex stock-keeping units in its automated dark stores. The robots are trained in virtual simulations to handle complex operations in a dynamic, automated environment autonomously.

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NXP Semiconductors has announced a collaboration with Quanta to launch a deterministic zonal networking solution designed for next-generation Software-Defined Vehicle (SDV) architectures.

The platform combines NXP’s S32 automotive processing platform with TrustMotion’s MotionWise middleware to provide predictable, real-time communication across vehicle networks.

The solution is engineered to solve a primary challenge for automotive manufacturers: ensuring precise timing across distributed compute and network components. By providing end-to-end determinism, the platform reduces the risk of errors during late-stage system integration.

The solution features an automated workflow for topology discovery and schedule generation designed to accelerate SDV program timelines. It combines NXP S32 processors, SJA1110 TSN-enabled switches and multi-PMIC power management into a single, validated system.

It provides low jitter and predictable latency across Electronic Control Units (ECUs) and in-vehicle networks, supporting Quality of Service (QoS). Thus making it scalable to support latency-sensitive applications including audio over Ethernet, high-performance compute (HPC) integration and real-time control.

Sebastien Clamagirand, SVP and GM, NXP Semiconductors, said, “Software defined vehicles require a fundamentally different approach to vehicle architecture – one that delivers deterministic timing across both compute and network at scale. We are helping OEMs overcome the limitations of legacy architectures, reduce integration risk and accelerate development of scalable zonal systems.”

Terrisa Chung, Vice-President and General Manager, Quanta, added, “Quanta’s Adaptive Zonal System is designed to deliver deterministic performance and system level scalability for next generation vehicle platforms. Working with NXP, we’re providing a ready to deploy foundation that helps our customers move faster while meeting strict timing, safety, and reliability requirements.”

The partnership aims to streamline the transition from domain-based designs to zonal E/E systems. NXP and Quanta have also confirmed they are working toward aligning this solution with the NXP CoreRide zonal reference system to support broader SDV integration in future vehicle programs.

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Aptiv has announced that Volvo Cars has awarded its Gen 8 radar platform for deployment in future vehicle programs, with production scheduled to begin in 2028.

The partnership centres on enhancing the perception capabilities of Volvo’s Advanced Driver Assistance Systems (ADAS) as both companies shift toward software-defined architectures.

The Gen 8 platform is Aptiv's latest advancement in high-resolution sensing, utilising proprietary antenna and silicon designs to support AI-powered and machine learning-powered safety functions.

Key Capabilities of the Gen 8 Radar Platform:

• High-Resolution Perception: Superior angular measurement and discrimination allow the system to resolve complex driving scenarios with high precision.
• Environmental Robustness: Engineered to maintain high performance in adverse weather and challenging urban environments where traditional sensors may struggle.
• Sensor Fusion Optimisation: Designed for seamless integration with cameras and other perception layers, providing a more reliable "world model" for the vehicle's computer.
• Scalability: A modular architecture that allows Volvo to deploy the technology across various vehicle lines and global markets efficiently.

Alwin Bakkenes, Head of Software Engineering at Volvo Cars, said, “Volvo Cars has always been guided by a belief that safety should be designed around people and real‑world driving conditions. Aptiv’s Gen 8 radar platform helps us deliver even more robust perception capabilities to our advanced driver assistance systems across increasingly complex environments and driving scenarios.”

Matthew Cole, Senior Vice President, Sensors & Compute at Aptiv, added: “Volvo Cars’ commitment to protecting people inside and outside the vehicle has set the benchmark for automotive safety. Aptiv’s Gen 8 radar was designed with that same purpose in mind: delivering dependable, high-resolution perception that performs in a wide range of use cases and environmental conditions. We’re proud to support Volvo Cars as they continue advancing their safety ambitions across future vehicle programs.”

The collaboration reinforces Volvo Cars' long-term safety mission – aiming for a future with zero accidents, while positioning Aptiv as a primary technology partner in the evolution of intelligent, software-led vehicle safety systems.

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Mercedes-Benz has announced a strategic partnership with the German low-code automation provider n8n to roll out a global platform for AI-powered workflows.

The initiative is designed to move AI beyond isolated pilot projects and integrate it into everyday operations across R&D, production, sales, HR and IT.

The partnership emphasises digital sovereignty, with Mercedes-Benz utilising n8n’s self-hosted, cloud-agnostic model to maintain strict control over its data and processes within a European technology ecosystem.

The strategy categorises employees into ‘Takers’ (users), ‘Makers’ (who design workflows via n8n) and ‘Builders’ (who develop advanced software). The goal is to empower ‘Makers’ to actively shape AI-driven processes without deep coding knowledge.

n8n will act as the ‘glue’ in the Mercedes-Benz technology stack, connecting existing systems and enabling the deployment of AI agents that can resolve issues and make data-driven decisions autonomously.

The rollout follows a massive company-wide hackathon involving over 1,500 participants. The most successful use cases from this event are currently being transitioned into full-scale operational implementation.

Katrin Lehmann, Chief Information Officer, Mercedes-Benz, said, “Scaling AI takes more than technology, it’s about putting it to work in our core business. Together with n8n, we make it easy for our teams at Mercedes-Benz to turn ideas into measurable impact across our value chain and to actively shape how we operate.”

Jan Oberhauser, Founder & CEO, n8n, added, “What we are building together with Mercedes-Benz answers the question of how to move AI from pilot to production at a scale few can achieve.”

By adopting a modular and flexible low-code architecture, Mercedes-Benz aims to increase its ‘innovation velocity.’ The n8n platform allows the company to rapidly iterate on automation ideas while ensuring that the resulting workflows are governed, scalable and integrated with the brand's broader AI ecosystem. This move reinforces Mercedes-Benz’s commitment to an open, software-defined architecture as a primary factor in industrial competitiveness.

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The OPEN Alliance, a leading industry consortium, has issued a call for greater strategic alignment across the automotive sector to unlock the full potential of ‘automotive ethernet’.

According to the newly released Automotive Ethernet – Architecture Change Drives Growth report from Tech Insights, vehicle Ethernet ports are projected to triple from approximately 962,000 sockets in 2025 to 3.42 million by 2032.

Despite this rapid growth, the analysis highlights a significant ‘adoption gap’. A small group of advanced Original Equipment Manufacturers (OEMs) currently installs 4.5 times more Ethernet ports per vehicle than the market average, leading to high variability in maturity levels across different regions and manufacturers.

The report predicts that the average number of Ethernet sockets per vehicle is forecasted to rise from 11 in 2025 to 27 by 2030. While 100BASE-T1 remains common, its share is declining, 1000BASE-T1 is expected to become the dominant speed grade by 2030 to support high-bandwidth backbones.

The demand for 10BASE-T1S is gaining traction in body and infotainment domains, while 2.5GBASE-T1 is being adopted for advanced sensors and cameras. Time Sensitive Networking (TSN) is projected to underpin nearly 50 percent of all Ethernet-equipped vehicles by 2030.

Suma Prabhakara, President, OPEN Alliance, said, “Automotive Ethernet is set for rapid yet uneven growth as new architectures, higher sensor bandwidth and emerging applications drive a near-tripling of Ethernet sockets in vehicles by 2032. As regions like China grow in overall socket share but remain internally fragmented, the OPEN Alliance’s role in reducing variability and accelerating consistent, standards‑based adoption becomes even more important. We encourage OEMs and suppliers to align with our work and share their implementation experience.”

The report warns that fragmented strategies – where different OEMs use divergent implementation methods – risk keeping the cost of developing autonomous driving and next-generation systems ‘unnecessarily high.’

The OPEN Alliance advocates for the use of its standardised test suites to ensure interoperability and prevent costly integration delays.

Additionally, the report identifies geopolitics as the top risk factor for market stability. It also notes that SERDES (Serialiser/Deserialiser) technology will continue to grow alongside Ethernet rather than being displaced by it, as vehicles require a mix of high-speed data protocols to support complex sensor suites.

Samuel Sigfridsson, OPEN Alliance Board Member, added, “The industry cannot afford fragmented approaches. Tested, standards-based implementation will prevent the costly divergence that slows innovation.”

Representational image courtesy: Pexels/AmmyK

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