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Tag: #MachineLearning

9,000 NVIDIA Chips: Indian AI Company Powers Up Hyderabad’s Largest AI Factory

India is rapidly positioning itself as a major global hub for artificial intelligence infrastructure, and a groundbreaking new development in Hyderabad is set to accelerate this vision. AM Intelligence, an Indian AI infrastructure company backed by the founders of renewable energy giant Greenko Group, has reportedly placed a binding order for approximately 9,000 Nvidia Vera Rubin GPUs.

This monumental investment marks one of the earliest and largest deployments of Nvidia’s latest AI computing platform in Asia, signaling a massive leap forward for India’s compute-as-a-service capabilities.

The Scale of the Investment

The Hyderabad facility is not just another data center; it is designed to be a true “AI factory” capable of handling some of the most demanding computational workloads in the world, including trillion-parameter foundation models and next-generation agentic AI applications.

Key highlights of the project include:

  • Massive Compute Power: An initial deployment of 200MW of AI compute capacity, serving as the first phase of a broader 1GW compute-as-a-service platform.
  • Historic Investment: The broader project represents a staggering $8 billion+ in capital expenditure, underscoring the sheer scale of ambition.
  • Cutting-Edge Hardware: The order for ~9,000 Nvidia Vera Rubin systems ensures the facility will be equipped with the most advanced AI training and inference hardware available globally.

The Green Energy Advantage: A Strategic Moat

One of the most significant bottlenecks in the global AI race is energy consumption. AI factories are notoriously power-hungry, and securing affordable, sustainable energy is critical for profitability.

AM Intelligence holds a distinct competitive advantage here: direct access to Greenko Group’s vast renewable energy infrastructure. By powering its AI data centers with clean, reliable energy, the company aims to offer some of the lowest-cost AI computation services globally.

As Mahesh Kolli, Founder and President of Greenko, noted:

“In global token economics, energy prices play a huge part.”

This synergy between renewable energy and advanced computing not only drives down operational costs but also aligns with global sustainability goals, making the Hyderabad facility a model for green AI infrastructure.

Global Reach with Low Latency

While rooted in India, AM Intelligence’s vision is thoroughly global. The company plans to offer its computing capacity to enterprise customers across India, the United States, Finland, and Malaysia.

Thanks to India’s robust and expanding undersea cable connectivity, US-based companies will be able to access AI compute resources hosted in India with a latency of approximately 300 milliseconds. This makes cross-border, real-time AI inference and training highly viable, positioning India as a reliable, high-performance alternative to traditional Western data center hubs.

Ambitious Expansion Plans

The Hyderabad AI factory is just the beginning. AM Intelligence has outlined an aggressive roadmap to expand its total AI data-center capacity to 5GW by 2030 across India, Europe, and other strategic global markets. This expansion is expected to be funded through a strategic mix of debt and equity, leveraging the strong financial backing and industry expertise of the Greenko founding team.

Looking Ahead: India’s AI Infrastructure Moment

While companies like Sarvam AI are making waves in foundational AI models, AM Intelligence is tackling the equally critical challenge of the underlying infrastructure. By combining world-class Nvidia hardware, ultra-low-cost renewable energy, and strategic global connectivity, AM Intelligence is building the backbone of the next generation of AI.

This $8 billion bet in Hyderabad is more than just a corporate expansion; it is a definitive statement that India is ready to power the global AI revolution.

Hyderabad’s Uday Ruddarraju Appointed CTO for Compute at OpenAI

Hyderabad: In a proud moment for Hyderabad and India’s technology community, Hyderabad-born Uday Ruddarraju, an alumnus of Chaitanya Bharathi Institute of Technology (CBIT), has been appointed as the Chief Technology Officer (CTO) for Compute at OpenAI. His elevation to this prestigious leadership role marks another significant achievement for Indian talent on the global technology stage.

Ruddarraju’s appointment comes nearly a year after joining OpenAI from xAI, where he served as the Head of Infrastructure Engineering. At OpenAI, he initially led the company’s Compute and Infrastructure teams, playing a crucial role in expanding the organization’s large-scale computing capabilities. With his promotion to CTO for Compute, he will now lead the engineering efforts behind one of the world’s most advanced AI computing infrastructures that power frontier artificial intelligence models, including GPT-5 and future generations of AI systems.

Born and educated in Hyderabad, Uday began his academic journey at Chaitanya Bharathi Institute of Technology (CBIT), one of the city’s leading engineering institutions. In 2011, he moved to the United States to pursue a Master’s degree in Computer Science Engineering at the University of Minnesota, laying the foundation for an exceptional career in technology.

Over the years, he built an impressive professional journey by working with some of the world’s leading technology companies, including eBay and Robinhood in San Francisco. His expertise in large-scale infrastructure engineering and distributed computing later led him to xAI, where he headed infrastructure engineering before joining OpenAI.

Sharing the news of his new role on LinkedIn, Ruddarraju expressed excitement about the challenges and opportunities that lie ahead. He revealed that OpenAI is preparing for an ambitious expansion of its computing capabilities to support increasingly powerful AI models. According to him, the company is building one of the world’s largest compute footprints, requiring innovation across multiple engineering disciplines, including distributed systems, networking, storage, hardware design, manufacturing, and large-scale data centre development involving civil, mechanical, and electrical engineering.

Reflecting on his first year at OpenAI, Ruddarraju described it as an incredibly rewarding experience. He said his team has successfully brought substantial new computing capacity online while developing the advanced systems necessary to train frontier AI models. As artificial intelligence continues to evolve rapidly, he emphasized that the engineering challenges are becoming increasingly complex, demanding innovation at every layer of the technology stack.

His achievement has been warmly celebrated by his alma mater, Chaitanya Bharathi Institute of Technology. CBIT Principal Prof. C. V. Narasimhulu congratulated Ruddarraju, stating that his remarkable journey from the classrooms of CBIT to a senior leadership position at one of the world’s most influential AI organizations reflects excellence, perseverance, technical brilliance, and visionary leadership. He added that Uday’s success will inspire thousands of students to dream bigger, pursue innovation, and contribute to global technological advancement.

Uday Ruddarraju’s appointment is yet another example of Hyderabad’s growing reputation as a hub for world-class engineering talent. As artificial intelligence reshapes industries across the globe, Indian professionals continue to play a pivotal role in driving innovation and leading transformative technologies at the highest levels.

With Hyderabad consistently producing globally recognized technology leaders, Uday Ruddarraju’s achievement stands as a proud milestone for the city, the Indian technology ecosystem, and aspiring engineers who look to make a lasting impact on the future of artificial intelligence.

IIIT Hyderabad Launches Fully Online Minor Program in Modern Machine Learning

Hyderabad, July 19, 2025 — In a significant step toward expanding access to cutting-edge AI education, the International Institute of Information Technology, Hyderabad (IIIT-H) has announced the launch of a fully online Minor Program in Modern Machine Learning. Offered through its Flexible Learning and Outreach Division, the one-year program is designed to run alongside students’ regular academic coursework, making it accessible without disrupting existing degree plans.

Aimed at undergraduate students in their third year or above—specifically those pursuing degrees in Science, Mathematics, Engineering, or Technology—the program takes a modular, flexible approach. It blends live interactive sessions, hands-on lab components, real-world projects, and mentorship by IIIT-H faculty, ensuring that learners gain both strong theoretical foundations and practical skills.

The curriculum is divided into five distinct terms:

  1. Foundations of Machine Learning
  2. Modern Machine Learning
  3. Applied AI: Computer Vision
  4. Applied AI: Natural Language Processing
  5. Capstone Project

Students can choose to earn individual course certificates, or complete the full set for a Minor Certificate in Modern Machine Learning. Importantly, individual colleges and universities may opt to recognize this certificate as a Minor Degree, depending on their academic policies.

Speaking about the initiative, Prof. Venkatesh Choppella, Associate Dean of the Flexible Learning Division at IIIT-H, highlighted the program’s relevance:

“Machine Learning is rapidly transforming every sector, and our aim is to equip students with a strong foundation and hands-on experience in this high-demand field.”

Key Dates:

  • Application Opens: July 26, 2025
  • Application Closes: August 15, 2025
  • Program Begins: August 25, 2025

With AI and machine learning continuing to disrupt industries worldwide, this program represents a timely opportunity for aspiring professionals to gain a competitive edge through one of India’s top research institutes.