Edge AI is expanding into mines, factory floors, naval vessels, and remote energy sites, exactly the environments least equipped to host conventional IT hardware. Dust, vibration, extreme temperatures, and the absence of on-site IT staff make standard air-cooled systems unreliable at best, unworkable at worst. This whitepaper explains why immersion cooling is the infrastructure answer.
Inside, you'll find:
- Why the edge AI market is projected to grow from $25 billion to $119 billion by 2033, and what's driving organisations to move AI workloads off the public cloud
- The four forces pushing AI to the edge: latency, data sovereignty, business continuity, and bandwidth cost
- How predictive maintenance at the edge cuts unplanned outages by up to 50%, against a backdrop where an hour of downtime in a large automotive plant costs $2.3 million
- Why fan-cooled hardware fails in hostile environments, and how immersion cooling seals compute from contaminants, vibration, and temperature extremes while running up to a decade with minimal intervention
- Asperitas' purpose-built edge immersion solution, Horizon, designed for far edge deployments from mining to defence