In a landmark development for artificial intelligence and global technological partnerships, G42, OpenAI, Oracle, NVIDIA, SoftBank Group and Cisco have joined forces to launch Stargate UAE, a next-generation AI infrastructure cluster set to operate in Abu Dhabi.

The announcement, made in the presence of President Sheikh Mohamed bin Zayed Al Nahyan, highlighted UAE’s commitment to driving cutting-edge innovation on the world stage.

The launch event witnessed the attendance of Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi, Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai and Deputy Prime Minister & Minister of Defence and Sheikh Tahnoon bin Zayed Al Nahyan, Deputy Ruler of Abu Dhabi and Chairman of the Artificial Intelligence Council, alongside prominent dignitaries and senior officials.

Stargate UAE, a 1-gigawatt compute cluster, will be constructed by G42 and operated by OpenAI and Oracle. NVIDIA will provide its cutting-edge Grace Blackwell GB300 systems, while Cisco contributes AI-ready connectivity and zero-trust security frameworks. SoftBank Group will also play a crucial role in the initiative. Once operational, Stargate UAE will deliver exceptional AI infrastructure, scalable compute resources, and ultra-low latency for inferencing, enabling powerful AI applications across industries. The first 200-megawatt cluster is slated to go live in 2026.

Designed to fuel scientific discovery, industry innovation and economic growth, Stargate UAE will support sectors including healthcare, energy, finance and transportation. It forms the cornerstone of the newly announced UAE–US AI Campus, a 5-gigawatt AI hub spanning 10 square miles in Abu Dhabi – the largest deployment of its kind outside the United States. Powered by a combination of nuclear, solar and natural gas sources, the facility will prioritise sustainability and low-carbon operations. It will also feature a science park to nurture talent, advance research, and promote sustainable computing solutions.

The UAE–US AI Campus builds upon the ‘US-UAE AI Acceleration Partnership’, a framework unveiled last week by the U.S. and UAE governments to foster safe, secure and responsible AI technologies. As part of this initiative, UAE entities will expand their digital infrastructure investments in the U.S., including projects like Stargate U.S., aligned with the ‘America First Investment Policy.’

Peng Xiao, Group CEO, G42, said, “The launch of Stargate UAE is a significant step in the UAE–US AI partnership. As a founding partner, we’re proud to work alongside institutions that share our belief in responsible innovation and meaningful global progress. This initiative is about building a bridge – rooted in trust and ambition – that helps bring the benefits of AI to economies, societies, and people around the world.”

Sam Altman, Co-founder and CEO, OpenAI, said, “By establishing the world’s first Stargate outside of the US in the UAE, we’re transforming a bold vision into reality. This is the first major milestone in our OpenAI for Countries initiative – our effort to work with allies and partners to build AI infrastructure around the world. It’s a step toward ensuring some of this era’s most important breakthroughs – safer medicines, personalised learning, and modernised energy – can emerge from more places and benefit the world.”

Larry Ellison, CTO and Chairman, Oracle, said, “Stargate pairs Oracle’s AI-optimised cloud with nation-scale sovereign infrastructure. This first-in-the-world platform will enable every UAE government agency and commercial institution to connect their data to the world’s most advanced AI models. This landmark deployment sets a new standard for digital sovereignty and demonstrates how nation states can harness the power of the most important technology in the history of humankind.”

Jensen Huang, Founder and CEO, NVIDIA, said, “AI is the most transformative force of our time. With Stargate UAE, we are building the AI infrastructure to power the country’s bold vision – to empower its people, grow its economy, and shape its future.”

Masayoshi Son, Chairman and CEO, SoftBank Group, said, “When we unveiled Stargate in the US with OpenAI and Oracle, we set out to build an engine for the next information revolution. Now, the UAE becomes the first nation beyond America to embrace this sovereign AI platform, proving the global nature of this vision. SoftBank is proud to support the UAE’s leap forward. Bold investments, trusted partnerships, and national ambition can create a more connected, more joyful and more empowered world.”

Chuck Robbins, Chair and CEO, Cisco, said, “Cisco is proud to join Stargate UAE to advance groundbreaking AI innovation in the UAE and around the world. By embedding our secure AI-optimised networking fabric for this international deployment, we're building smart, secure and energy-efficient networks that will turn intelligence into impact at global scale.”

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Automotive supplier Valeo and Electronic Design Automation software provider Zuken have announced a strategic partnership to develop an open, artificial intelligence-assisted electronic design platform. The collaboration will operate under a joint program named the ‘Zuken Valeo InnoLab’.

The initiative integrates Zuken's AI architecture with Valeo’s custom AI agents and industrial data to create a real-time collaborative ecosystem between software tools and engineers. The primary objective of the program is to reduce hardware design timelines while maintaining structural robustness across complex automotive electronic systems.

The technical development framework spans the entire electronic design flow and is organised into four main operational areas:

• Functional Generative Design: Valeo will deploy its generative AI models within Zuken’s System Planner software to instantly generate and evaluate multi-criteria system architectures based on predefined corporate standards.
• Digital Continuity: Zuken’s open architecture will interface with Valeo’s existing digital ecosystem to provide end-to-end data traceability. This integration is designed to comply with the Automotive SPICE 4.0 (ASPICE4.0) Hardware Engineering process group standard, allowing Valeo's AI to process data and execute automated actions directly within the platform.
• Assisted Detailed Design: Valeo will integrate virtual AI copilot agents to assist engineering teams in real time with hardware rule verification, solution searching, and constraint implementations. Concurrently, Zuken is developing native AI functions to accelerate schematic entries by drawing from Valeo’s standardised components database.
• Automated Placement and Routing: Physical circuit integration will utilise Zuken’s Design Force engine, which features automated placement and routing algorithms. Valeo will use Zuken's software development kit to train the AI engine against specific automotive environmental and physical constraints to achieve correct initial executions.

Christophe Le Ligne, Vice-President – Research and Development, Valeo, said, “For Valeo, Zuken is much more than a software provider; it is a true innovation partner. The power of Zuken’s AI roadmap, combined with the exceptional openness of its architecture, allows us to hybridise our own artificial intelligence tools with their engine. This win-win partnership is the best way to tackle the challenge of automotive complexity by slashing our design times while guaranteeing 100% robustness.”

Ryosuke Takagi, Executive Officer and General Manager – R&D Division, Zuken, added, “Our vision at Zuken has always been to provide intelligent tools that adapt to our customers’ most complex challenges. Collaborating with a technological leader like Valeo pushes our ‘Autonomous Brain’ roadmap to its highest level of performance. By opening our System Planner, Design Gateway, and Design Force solutions to Valeo’s AI agents, we demonstrate that the true power of AI in engineering lies in the alliance between a high-performance software engine and expert industrial know-how.”

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Artificial intelligence software developer Helm.ai has launched two foundation models, GenSim-3 and VidGen-3, establishing a native Full HD (1920x1080) resolution standard for generative simulation across a 6-camera, 360-degree surround-view suite.

The architecture delivers 5x the pixel density of industry benchmarks to assist automotive developers facing the limitation where physical collection of edge cases becomes logistically restrictive.

Traditional generative world models typically cap resolution at roughly 0.4 megapixels per camera. Helm.ai’s platform outputs a native 2 megapixels per camera, yielding a synchronised 12-megapixel synthetic canvas per timestep. This specification matches the hardware parameters of production-grade vehicle cameras to reduce the domain gap for SAE Level 2 through Level 4 autonomous vehicle development.

The platform functions as a virtual sensor twin by mathematically replicating physical constraints and hardware anomalies, including lens flares, sensor banding patterns, and exposure blinding. To accommodate different neural network training routines, the pipeline can be configured to a high-speed validation mode using a three-camera setup at 30 frames per second, or a spatial context mode generating a six-camera surround view at 5 frames per second.

Data generation is split into two operational pipelines. GenSim-3 focuses on data augmentation by modifying environmental parameters such as weather, lighting, and object surfaces across real-world video segments at native 2MP resolution. VidGen-3 focuses on data creation, synthesising driving sequences from scratch by simulating environments, agent behaviours, and traffic logic without baseline video to patch geographic data gaps.

Helm.ai achieved the 2MP standard using a cluster of a few hundred GPUs rather than the thousands typically required for sub-HD video generation. This framework reduces the GPU infrastructure footprint for vehicle manufacturers and provides a method for compressing autonomous driving software onto mass-market on-vehicle compute chips.

Vladislav Voroninski, CEO and Founder, Helm.ai, said, "We are moving the industry from standard 'AI video' to authentic, hardware-accurate sensor emulation. By leading with a Full HD (2MP) standard and a 12-megapixel total aggregate capability per timestep, we have solved the resolution bottleneck that has historically limited the utility of generative AI in safety-critical systems. By optimising our compute architecture, we are giving our partners a high-performance platform to validate their autonomous stacks using synthetic data that perfectly matches the fidelity of their actual production sensors."

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Global automotive technology supplier Marelli has marked the 30th anniversary of its flagship electronics manufacturing plant in Guangzhou. Established in 1996 as Marelli’s inaugural manufacturing investment in China, the facility has transformed from a baseline assembly outpost into a major smart manufacturing and hardware-software validation centre.

Over the past three decades, the facility has expanded from a single operational production line with approximately 100 technicians into a 30,000-square-meter automotive electronics campus.

Today, the facility employs nearly 1,000 people and runs 66 active production lines, manufacturing components for both localised Chinese vehicle programs and global vehicle architectures.

The campus houses an adjacent, fully integrated Engineering Center that holds more than 100 registered patents. The manufacturing framework integrates high-precision assembly lines, automated optical bonding modules and site-wide rooftop solar arrays designed to manage factory energy overheads and lower operational carbon density.

The Guangzhou plant functions as a strategic industrialisation hub focused on low-cost, scalable architectures suited for the industry transition toward connected, software-defined vehicles (SDVs). The facility specialises in several high-growth hardware and display segments like advanced display solutions based on Mini-LED and MicroLED technologies. Additional key platforms include electronic control units (ECUs) for body and seat systems, zone control units, as well as digital cockpits, digital instrument clusters, and 5G telematics systems.

Ravi Tallapragada, President of Marelli’s Electronics business unit, said, “Our Guangzhou plant is a cornerstone of Marelli’s Electronics business in China and a powerful example of how innovation and advanced manufacturing can drive sustainable growth. Over the past 30 years, the team has continuously evolved its capabilities, developing advanced technologies and scalable platforms that address the rapid transformation of the automotive industry, building on long-standing collaboration with customers and partners. I’m proud of our team in Guangzhou and confident that the plant will continue to play a key role in shaping Marelli’s future globally.”

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Bosch MC Battery Service Innovations, a 50:50 joint venture established by Bosch and Mitsubishi Corporation, has secured its first commercial customer for its ‘Battery-as-a-Service’ (BaaS) solution. The platform has officially gone live with the opening of an automated energy service hub in Chizhou, Anhui Province.

The new logistical hub is owned and operated by Shanghai Lingzhou Technology Co. The site acts as a high-volume transit point configured specifically for heavy-duty electric trucks, allowing operators to either swap out spent battery packs or utilise fast-charging bays within a few minutes. The Chizhou station currently processes more than 100 commercial electric trucks per day.

The commercial roll-out aligns with rapid fleet electrification trends in China, where New Energy Vehicles (NEVs) accounted for nearly 30 percent of all heavy-duty truck sales in 2025. Internal market projections from Bosch indicate that over 50 percent of new truck registrations in the country will be fully electric by 2030.

The joint venture's business model separates the acquisition cost of the vehicle chassis from the battery chemistry, mitigating a core hurdle for corporate logistics fleets: accounting for unpredictable battery degradation and its subsequent impact on total cost of ownership (TCO) and residual vehicle asset valuation.

The operational framework of the joint venture utilises a collaborative technical and commercial division between both partners. As per the understanding, Bosch will provide the core software stack for the platform. Real-time operating metrics – including local ambient temperature profiles, instantaneous current loads and historical charging frequencies – are beamed continuously to cloud servers. The algorithms evaluate the exact state of health (SoH) of individual packs, run predictive wear modelling to catch cell stress anomalies and dynamically manage fast-charging protocols to minimise thermal strain.

On the other hand, Mitsubishi manages localised market deployment, regulatory anchoring and downstream financial underwriting. The data harvested through the tracking platform is being funnelled into integrated aftermarket networks to build commercial products, including predictive hardware maintenance contracts, connected usage-based fleet insurance packages and secondary-life battery storage applications.

Thomas Pauer, President of the Bosch Power Solutions division, said, "With this service, Bosch and Mitsubishi Corporation can create real added value for fleets. Although the state of health can decline due to ageing and many charging cycles, our solution allows fleet operators to keep an eye on the battery condition of their vehicles – a decisive criterion for the everyday suitability and total cost of ownership of a fleet."

Qian Yang, General Manager of the joint venture’s local subsidiary in China, said, "Our service hits a local nerve: We support battery-electric vehicles in the fleet business. This holistic approach accelerates the electrification of fleets and optimises the entire battery lifecycle. The combined expertise of Mitsubishi and Bosch is a perfect match for our customers."

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