TÜV SÜD, Accenture and NVIDIA Unite to Fast‑Track AI Robot Safety Certification in Factories and Warehouses

TÜV SÜD and Accenture have unveiled their new “Physical AI Safety Suite” at NVIDIA GTC Berlin 2026, a framework designed to accelerate certification of autonomous robots and AI-driven systems in factories and warehouses. The suite uses digital twins, AI agents, and simulations to reduce certification timelines by up to 30%, helping manufacturers deploy automation faster and more safely.

Established industry standards form the foundation for ensuring that automated facilities are both safely designed and reliably operated. A key example is ISO 3691‑4, which outlines safety requirements for driverless industrial trucks and systems, including Autonomous Mobile Robots (AMRs). In many industrialized nations, certification against such standards is mandatory before companies can commission automated facilities or deploy new physical AI systems. Even in regions where certification is voluntary, adherence to recognized industry standards remains best practice.

However, navigating this complex landscape of overlapping standards often slows the adoption of physical AI‑enabled automation. At a mid‑sized production plant, the iterative process of coordinating, validating, and gaining approval for safety concepts can extend over several weeks, delaying deployment timelines.

At NVIDIA GTC Berlin, TÜV SÜD introduced the Physical AI Safety Suite, a system that uses digital twins and AI simulations to replace parts of the manual safety checks for factories and equipment. This digital approach can bring production online up to 30% faster. By reducing the need for physical site visits and installed equipment, companies can spot safety and certification issues earlier, avoiding expensive fixes later in operation.

Key Highlights

• Launch Event: Presented at NVIDIA GTC Berlin 2026
• Collaborators: TÜV SÜD and Accenture
• Core Technology: Digital twins, AI agents, and simulation testing
• Target Use Cases: Autonomous Mobile Robots (AMRs), driverless industrial trucks, warehouse automation
• Productivity Impact: 30% faster commissioning of automated facilities
• Standards Basis: Built on ISO 3691-4 safety standards

How the “Physical AI Safety Suite” Works

Using digital twins, AI agents and simulations, TÜV SÜD and Accenture’s Physical AI Safety Suite is designed to speed up the automation of factories and warehouses. (Image - Accenture.com)

• Digital Certification: Automates manual inspection and certification package creation
• Safety Scenarios: Simulates risk scenarios beyond physical testing
• Early Compliance: Validates safety concepts earlier in design cycle
• Continuous Monitoring: Supports ongoing compliance during operations

Benefits for Manufacturers

Benefit	Details
Faster Certification	Cuts commissioning timelines by ~30%
Improved Safety	Simulates scenarios beyond real-world testing limits
Cost Efficiency	Reduces rework and delays in automation rollout
Scalability	Supports deployment across diverse environments

Risks & Challenges

• Complex Standards Navigation: Certification requires compliance with multiple overlapping standards
• Integration Costs: Simulation infrastructure may be expensive for smaller manufacturers
• Human-Robot Interaction Risks: Real-world unpredictability remains a challenge
• Regulatory Variability: Certification requirements differ across countries

Context for India & Global Manufacturing

For manufacturers in India and Asia: TÜV SÜD and Accenture’s framework could help reduce bottlenecks in certifying AMRs and AI-driven logistics systems. This is particularly relevant for semiconductor fabs, automotive plants, and large-scale warehouses in Gurugram and Bengaluru, where AI-enabled automation is expanding rapidly.

AM Intelligence Expands NVIDIA Vera Rubin AI Factory Buildout with 29,000 GPUs and 100 MW Capacity Across India and Malaysia

Two further binding orders of ~20,000 NVIDIA GPUs take AMI's committed NVIDIA Vera Rubin capacity to approximately ~29,000 GPUs and close to 100 MW, part of its global development pipeline of ~400 MW

AM Intelligence (“AMI”), the AI infrastructure platform set up by Promoters of Greenko, today announced two further firm and binding orders for 20,000 NVIDIA Rubin GPUs, to be deployed as NVIDIA Vera Rubin NVL72 rack-scale systems. Building on its first AI factory in Hyderabad, the expansion is designed to give cloud providers, enterprises and AI developers access to large-scale computing capacity closer to where they build and deploy AI.

These orders are in addition to the AMI's inaugural commitment announced on August 25, 2026, for 9,000 NVIDIA Rubin GPUs at its first AI Factory in Hyderabad.

This follow-on capacity totalling ~70 megawatts (MW) will be deployed at Malaysia and India with delivery scheduled for Q2 2027.

Taken together, the three orders bring AMI's committed frontier compute to approximately 29,000 Rubin GPUs and close to 100 MW of capacity, establishing AMI among the earliest and largest committed buyers of Rubin GPUs outside of North America.

AMI plans to bring additional 300 MWs of capacity to market in the next 15 months, involving capital expenditure of more than $20+ billion in addition to the $6 billion already committed for the initial $100 MW.

“Both facilities will be built to the same architecture standard as the Hyderabad AI Factory, integrating the NVIDIA Vera Rubin platform with high-throughput RDMA over Converged Ethernet (RoCE) networking for fast, efficient data movement, alongside advanced storage systems,” said Anil Chalamalasetty, Chairman, AM Intelligence. “Each site is engineered for high rack power density and liquid cooled throughout, allowing the infrastructure to accommodate successive generations of AI silicon within the same physical footprint.”

“AM Intelligence is bringing the next generation of AI factories to India and Malaysia with NVIDIA Vera Rubin,” said Vishal Dhupar, managing director, Asia South, NVIDIA."By combining accelerated computing with high-performance networking and liquid-cooled infrastructure, AMI is creating the foundation for developers and enterprises to build more ambitious AI.”

AMI’s ~400 MW Global Pipeline

AMI has developed a pipeline of ~400 MW of Compute-as-a-Service capacity across global locations, including India, the United States, Europe and Malaysia. The three orders placed to date represent the first committed tranche within that pipeline, and the balance is under development for delivery in subsequent phases in 2027 and early 2028.

The pipeline advances AMI's stated intention to bring 1 GW of Compute-as-a-Service capacity to global AI workloads, within a broader programme of 5 GW of powered AI data centres across India, the United States and Europe.

AMI, as a strategic builder of long-term assets, will leverage its unique power solutions, capex advantage and access to next-generation AI infrastructure to deliver best-in-class electron-to-token economics by integrating energy infrastructure with the computing capacity required to train and run AI models. This will enable AI training and inference at scale with a collaborative service offering spanning hyperscalers, neo cloud providers, sovereign AI initiatives, frontier labs, AI natives and local developer communities.

About AM Intelligence:

AM Intelligence (AMI) is building a full-stack AI infrastructure ecosystem spanning energy, data-center infrastructure, hardware, and customized AI models. Backed by Greenko's owned renewable generation and storage, AMI is developing gigawatt-scale, liquid-cooled compute capacity designed to serve global hyperscalers, frontier AI labs, enterprises, and India's sovereign AI initiatives — while widening chipset access for Indian developers building domestic and global AI solutions. AM Intelligence is developing 5 GW of powered AI data centres and 1 GW of Compute-as-a-Service across India, United States and Europe, with 400 MW of Compute-as-a-Service capacity coming to market in the near term.

AMI, promoted by the founders of Greenko, is building globally differentiated platforms across energy, molecules and AI with a focus on enabling next generation of intelligent infrastructure. On electrons, we are building a 50 GW energy infrastructure platform across 20+ states, spanning solar, wind, hydro and energy storage. We are also developing the world’s first interconnected energy storage platform, targeting 200 GWh of storage capacity across India.

On molecules, we are developing low-carbon molecule platform, including green ammonia, with a target of 5 MTPA of green ammonia capacity across multiple locations in India. Our 1 MTPA green ammonia project currently under construction is expected to be among the world’s largest RFNBO-compliant green ammonia facilities, supporting energy diversification for global markets for multitude of use cases across power generation, mobility amongst others. For more information on AM Intelligence and its AI infrastructure platform, visit: https://amintelligencegroup.com/

AM Intelligence Orders 9,000 NVIDIA Rubin GPUs to Launch Asia’s First Frontier AI Cluster in Hyderabad

AMI has placed binding order for ~9,000 NVIDIA Rubin GPUs deployed as Vera Rubin NVL72 rack-scale systems in its first AI Factory in Hyderabad, part of its 1 GW compute capacity globally

AM Intelligence ("AMI"), the AI infrastructure platform set up by Promoters of Greenko, is striving to become the World’s leading, intelligence infrastructure company, powering the AI economy through vertically integrated energy, compute and innovation.

AMI today announced first step towards this vision by placing a firm and binding order for Vera Rubin delivery in Q1 2027 at its first AI factory in Hyderabad. The order covers 9,000 NVIDIA Rubin GPUs deployed as Vera Rubin NVL72 rack-scale systems for the 30 MW of capacity and will make AMI’s Hyderabad AI Factory as one of the first frontier AI compute clusters in Asia.

The Hyderabad facility will be the first tranche of AMI's planned 1 GW of Compute-as-a-Service capacity across India, the United States, Finland and Malaysia. AMI plans to bring an initial 200 megawatts (MW) of capacity to market in the near term, involving capital expenditure of more than USD 8 billion.

Anil Chalamalasetty, Chairman, AM Intelligence, said: “For over two decades, we have focused on transforming electrons into value — addressing critical and emerging societal needs. Today, the electron-to-token opportunity allows us to take this capability further, converting power infrastructure into frontier AI compute at scale. Bringing latest generation NVIDIA Vera Rubin to India marks the next step in this journey and establishes AMI at the forefront of the emerging AI electron-to-token economy.”

By integrating NVIDIA Vera Rubin architecture with high-throughput RDMA over Converged Ethernet (RoCE) networking for fast, efficient data movement, and advanced storage systems, the Hyderabad AI Factory is being designed to run some of the world’s largest and most sophisticated AI models, including trillion-parameter models and next-generation agentic AI applications.

NVIDIA Vera Rubin NVL72 introduces NVFP4, a new low-precision computing format designed to run AI workloads more efficiently, alongside next-generation High Bandwidth Memory (HBM4). The architecture is designed to reduce AI inference token-serving costs by up to 10 times compared with the preceding NVIDIA Grace Blackwell generation. AMI’s Hyderabad AI Factory is being engineered to deliver approximately 450 exaFLOPS of NVFP4 inference compute, providing massive computing capacity for running advanced AI models at scale.

AMI: Building Toward 5 Gigawatts

Over the last two decades, our focus has been on electron valorisation, creating progressively greater value from energy across energy management, molecules and metals, and now AI tokens, the units of information processed and generated by AI models. This end-to-end approach has been central to our philosophy of addressing critical and emerging societal needs.

Today, intelligence has reached the status of permeating humankind’s lives on a daily basis. AMI, as a strategic builder of long-term heavy assets, will leverage its unique power solutions, capex advantage and access to next-generation NVIDIA AI infrastructure to deliver highly cost-competitive electron-to-token economics by integrating energy infrastructure with the computing capacity required to train and run AI models. This will enable wider deployment of AI with a collaborative service offering spanning across hyperscalers, neo cloud providers, sovereign AI initiatives, frontier labs, AI natives and local developer communities.

AMI is developing 5 GW of powered AI data centres across India, the United States and Europe. These facilities are being designed for high-density AI computing, using liquid cooling to manage the significant power and heat requirements of advanced AI chips, while allowing the infrastructure to accommodate successive generations of AI silicon. AMI also intends to bring 1 GW of Compute-as-a-Service capacity to global AI workloads with initial capacity of 200 MW coming online in short-term.

About AM Intelligence:

AM Intelligence (AMI) is building a full-stack AI infrastructure ecosystem spanning energy, data-center infrastructure, hardware, and customized AI models. Backed by Greenko's owned renewable generation and storage, AMI is developing gigawatt-scale, liquid-cooled compute capacity designed to serve global hyperscalers, frontier AI labs, enterprises, and India's sovereign AI initiatives — while widening chipset access for Indian developers building domestic and global AI solutions. AM Intelligence is developing 5 GW of powered AI data centres and 1 GW of Compute-as-a-Service across India, United States and Europe, with 200 MW of Compute-as-a-Service capacity coming to market in the near term.

AMI, promoted by the founders of Greenko, is building globally differentiated platforms across energy, molecules and AI with a focus on enabling next generation of intelligent infrastructure. On electrons, we are building a 50 GW energy infrastructure platform across 20+ states, spanning solar, wind, hydro and energy storage. We are also developing the world’s first interconnected energy storage platform, targeting 200 GWh of storage capacity across India.

On molecules, we are developing low-carbon molecule platform, including green ammonia, with a target of 5 Mtpa of green ammonia capacity across multiple locations in India. Our 1 Mtpa green ammonia project currently under construction is expected to be among the world’s largest RFNBO-compliant green ammonia facilities, supporting energy diversification for Global markets for multitude of use cases across power generation, mobility amongst others.

L&T's Vyoma.AI Secures India’s Largest NVIDIA B300 AI Factory to Power Global AI Cloud Innovation

Representative Image

• Marking its foray into AI Factory business, L&T will deploy NVIDIA B300 infrastructure at its Chennai data centre campus to power Together AI’s AI-native cloud platform for large-scale training and inference.

Vyoma.AI, an L&T company, through its AI infrastructure subsidiary LTN Compute, has secured India's largest single-cluster AI infrastructure - an NVIDIA B300 AI Factory - for a US-based AI cloud innovator.

The AI Factory will power AI Native Cloud platform for large-scale inference, fine-tuning and training workloads, strengthening India's AI infrastructure ecosystem while supporting global innovation.

Vyoma's Chennai data centre campus, a gigawatt-scale AI infrastructure site, with Phase 1 designed for 250 MW and power infrastructure readiness of 150 MVA, provides a scalable foundation for future AI Factory expansion.

The integrated AI Factory, with capacity of 10,000 B300 NVIDIA GPUs, will be hosted at Vyoma’s Chennai data centre. The platform combines hyperscale data centre infrastructure, accelerated computing, high-performance networking, ultra-low-latency interconnects, high-throughput parallel storage and AI infrastructure operations, enabling customers to seamlessly deploy and scale AI workloads through a unified, end-to-end AI infrastructure stack.

"Artificial Intelligence is becoming foundational to every industry and AI Factories will power this transformation. Our deployment of an NVIDIA B300 AI Factory for Together AI marks a significant milestone in L&T's Gigawatt AI Infrastructure Mission and reinforces our commitment to making India a global hub for next-generation AI infrastructure", said Mr S N Subrahmanyan, Chairman & Managing Director, Larsen & Toubro.

"Making AI globally accessible is going to be the biggest infrastructure build-out in human history, and L&T understands that”, said Mr Vipul Ved Prakash, Co-founder & CEO, Together AI. “That's exactly why we partnered with them - to bring the scale, resilience and engineering excellence this moment demands to India.”

LTN Compute, a subsidiary of Vyoma.AI, is building AI-ready digital infrastructure across India through hyperscale AI datacentres, sovereign cloud platforms, AI Factory services, GPU-as-a-Service (GPUaaS) and managed AI platforms to support governments, enterprises, cloud providers and AI innovators.

Schneider Electric and Foxconn Unite to Build AI Factories

Schneider Electric, a global energy technology leader, today announced a strategic collaboration with Hon Hai Technology Group (Foxconn), the world’s largest electronics manufacturer, to help define and scale the next generation of AI data centers.

As AI adoption surges, the demands on digital infrastructure are being fundamentally reshaped. This collaboration brings together Foxconn’s unmatched expertise in advanced compute platforms, AI rack integration, and global manufacturing with Schneider Electric’s leadership in power systems, cooling, and energy management. Together, the companies aim to deliver integrated, ready-to-deploy solutions that enable customers to build and operate AI infrastructure with greater speed, efficiency, and predictability across regions. Production will begin later this year.

“At the pace AI is evolving, the industry requires a new model for how infrastructure is designed, built, and delivered,” said Young Liu, Chairman of Foxconn. “By combining Foxconn’s strength in AI systems and global manufacturing with Schneider Electric’s deep expertise in power and energy, we are creating a path for customers to deploy AI capacity at scale—faster, smarter, and more sustainably.”

"AI demand continues to accelerate, and as compute scales to keep pace, the energy behind it becomes a fundamental enabler,” said Olivier Blum, CEO of Schneider Electric. “If we want to scale AI responsibly, these systems must be connected. This is where energy intelligence becomes essential. At Schneider Electric, we are advancing energy tech to build the most efficient and sustainable AI factories by bringing integrated power, cooling, and digital capabilities into AI data centers. Working with Foxconn, we are helping customers build capacity with real speed, resilience, and efficiency, as energy technology partners to an industry that is firmly entering the era of intelligence."

Through this collaboration, Foxconn and Schneider Electric will co-develop next-generation reference architectures for AI data centers. The partnership will also explore innovations in closed-loop energy optimization, modular power and cooling skids, and standardized design frameworks, creating repeatable, high-performance blueprints for AI factories worldwide. By aligning manufacturing excellence with energy intelligence, the two companies are setting the foundation for a new class of AI infrastructure that is scalable by design, efficient by default, and ready to meet the accelerating demands of the AI era. 

About Foxconn

Hon Hai Technology Group (Foxconn) (TWSE:2317) is the world’s largest electronics manufacturer and leading technology solutions provider, ranking 28th in Fortune Global 500. In 2025, revenue totaled TWD8.1 trillion (approx. USD260 billion). The Group’s market share in electronics manufacturing services (EMS) exceeds 40% and covers four major product segments: smart consumer electronics; cloud and networking; computing; and components and other. Operating over 240 campuses across 24 countries, Foxconn is one of the world’s largest employers with approx. 900,000 employees during peak manufacturing season. We are committed to sustainability in the manufacturing process and serving as a best-practice model for global enterprises. The Group is guided by its 3+3+3 strategy, actively investing in industries of electric vehicles, digital health, and robotics; in technologies of artificial intelligence, semiconductors and next-generation communications; in intelligent platforms of Smart Manufacturing, Smart EV and Smart City. Foxconn is dedicated to becoming a comprehensive, world-class enterprise, with AI as its core driving force. Learn more at www.foxconn.com/en-us

About Schneider Electric

Schneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems, enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory.

With 160,000 employees and one million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies.

www.se.com

Vertiv Announces New AI-Powered Predictive Maintenance Service for Modern Data Centers and AI Factories

Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, announced the launch of Vertiv™ Next Predict, an AI-powered managed service that fundamentally transforms data center maintenance. Moving beyond traditional time-based and reactive models, the service industrializes operations by analyzing asset behavior before risks materialize. Vertiv Next Predict is the latest advancement in Vertiv’s integrated AI infrastructure portfolio, designed to deliver predictive intelligence across power, cooling, and IT systems—creating a unified, resilient foundation for AI-driven data centers.

As AI workloads reshape the data center landscape, facilities require improved visibility and control across critical infrastructure to maintain operational continuity and performance at scale. Implementing advanced analytics and predictive maintenance strategies helps organizations address these challenges and maintain consistent performance across distributed environments.

“Data center operators need innovative technologies to stay ahead of potential risks, as compute intensity rises and infrastructures evolve,” said Ryan Jarvis, vice president of the global services business unit at Vertiv. “Vertiv Next Predict helps data centers unlock uptime, shifting maintenance from traditional calendar-based routines to a proactive, data-driven strategy. We move from assumptions to informed decisions, by continuously monitoring equipment condition and enabling risk mitigation before potential impacts to operations.”

Vertiv Next Predict leverages AI-based anomaly detection to continuously analyze operating conditions and identify deviations from expected behaviors at an early stage, and a predictive algorithm that assesses potential operational impact to determine risk and prioritize response. Root cause analysis then isolates the contributing factors to support efficient and targeted resolution. Based on system data and the specific operational context, prescriptive actions are defined and carried through to execution, with corrective measures performed by qualified Vertiv™ Services personnel.

Engineered for versatility and future growth, Vertiv™ Next Predict currently supports a broad and expanding range of Vertiv™ power and cooling platforms—including battery energy storage solutions (BESS) and liquid cooling components. More importantly, the service is designed with scalability in mind, to enable seamless integration with future data center technologies as part of a unified, grid-to-chip service architecture. This forward-looking approach means customers can adopt Vertiv Next Predict today, with the knowledge that it can evolve alongside their infrastructure needs.

The Vertiv Services organization has decades of service experience in critical digital infrastructure, a global network of Vertiv-trained technicians, and AI-powered analytics.

For more information about Vertiv Next Predict or Vertiv’s end-to-end power and thermal management solutions—including Vertiv™ OneCore scalable prefabricated data center infrastructure solution, Vertiv™ SmartRun modular overhead IT infrastructure system and Vertiv’s expanding portfolio for AI and high-density workloads—visit Vertiv.com.