Quantify the financial impact of particulate contamination in your liquid-cooled AI infrastructure. Based on industry research from Uptime Institute, Schneider Electric, and Meta case studies.
Typical range: 100-10,000 GPUs per facility
H100: ~$30,000 | H200: ~$40,000 | B200: ~$60,000
Liquid cooling typically: 80-120 kW/rack
90% of enterprises: $300K+/hour | 41% report: $1-6M/hour
Calculations based on industry research: 1% annual utilization loss, 10-15% throttling impact, 13% of outages from cooling failures.
Estimated annual exposure from particulate contamination
2 cooling-related incidents per year
1% capacity loss from thermal issues
10% of GPUs affected by thermal throttling
10% higher energy from inefficiency
VeriClean's 95%+ particle reduction addresses the hidden source of contamination, preventing thermal degradation before it impacts performance.
Disclaimer: This calculator provides estimates based on industry research and case studies. Actual results will vary based on facility design, coolant chemistry, maintenance practices, and operational conditions. For a detailed risk assessment specific to your deployment, contact our technical team.
Schedule a consultation with our contamination control specialists to develop a customized implementation plan.