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

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• 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.