presentofai

AM Intelligence orders 20,000 NVIDIA Rubin GPUs for AI factories

TL;DR

AM Intelligence, backed by Indian energy group Greenko, has committed to 29,000 NVIDIA Rubin GPUs and nearly 100 MW of AI compute capacity, making it one of the largest non-North American buyers of next-gen NVIDIA silicon.

What happened

  • AM Intelligence (AMI) placed two new firm orders for 20,000 NVIDIA Rubin GPUs on October 5, 2026, for deployment in India and Malaysia.
  • The new orders add roughly 70 MW of compute capacity, with delivery scheduled for Q2 2027.
  • Combined with a prior August 2026 order of 9,000 Rubin GPUs for its Hyderabad AI factory, AMI's total committed frontier compute reaches 29,000 GPUs and close to 100 MW.
  • All facilities will deploy NVIDIA Vera Rubin NVL72 rack-scale systems with liquid cooling and RoCE high-throughput networking.
  • AMI has committed $6 billion for the initial 100 MW, with a further $20 billion planned for an additional 300 MW over the next 15 months.

Why it matters

  • AMI is now among the earliest and largest committed buyers of Rubin GPUs outside North America, signaling a meaningful shift of frontier AI infrastructure investment into South and Southeast Asia.
  • The $26 billion total committed capex (initial plus expansion) rivals hyperscaler-scale buildouts, coming from a non-traditional player rooted in energy infrastructure.
  • AMI's stated pipeline of 400 MW of Compute-as-a-Service capacity across India, the US, Europe, and Malaysia positions it as a global merchant compute provider, not just a domestic one.
  • The long-term target of 1 GW of CaaS capacity within a 5 GW powered data center program would place AMI among the world's largest AI infrastructure operators if executed.
  • Liquid-cooled, high-density rack architecture designed for successive GPU generations reduces stranded-asset risk and signals a long-duration infrastructure bet on NVIDIA's roadmap.

What to watch next

  • Whether AMI secures anchor enterprise or sovereign customers for its Compute-as-a-Service pipeline, which would validate the merchant model and de-risk the $20 billion expansion.
  • Delivery and commissioning of the Q2 2027 India and Malaysia facilities, the first real proof point for AMI's execution capability at scale.
  • Competing bids from regional hyperscalers and national AI programs in India and Malaysia that could pressure AMI's pricing and utilization rates.

Originally published on Present of AI, a daily source-linked AI news timeline. Read the full timeline or browse the open dataset.