The GTMnow Podcast

AI at the Edge: How Armada is Taking Compute Everywhere the Cloud Can't Go | Dan Wright (CEO of Armada)

Mar 10, 2026
Dan Wright, co-founder and CEO of Armada, builds rugged modular AI data centers for remote, extreme environments. He discusses bringing compute to oil rigs, Arctic rescue, and naval deployments. Hear why cloud misses 70% of the world, how Starlink enabled remote AI clusters, the rise of distributed intelligence, and the race for sovereign, modular compute.
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INSIGHT

AI Fails When Distance Breaks Physics

  • AI performance is constrained by physics: distance and latency break real-time inference for mission-critical sites.
  • Running large models remotely fails if infrastructure isn't co-located with sensors on rigs, ships, or mines.
INSIGHT

Starlink Turned Data Deserts Into AI Clusters

  • Starlink made ubiquitous connectivity possible and turned remote locations into potential AI clusters without fiber.
  • Because Starlink now reaches ~155 countries, Armada can push models to Antarctica and other previously unreachable sites.
INSIGHT

Distributed Intelligence Places Compute At The Data

  • Distributed intelligence means placing inference where data and power exist, not just centralized training in hyperscale clouds.
  • Falling device costs and widespread sensors make local inference the natural architecture for critical sites.
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