Liquid cooling for financial services data centers
More compute per rack. More performance per watt. No water risk on the trading floor's most critical systems.
ZutaCore's two-phase direct-to-chip cooling lets banks, trading firms, and exchanges grow inside the footprint they already lease — chips at full speed through peak demand, cooling energy down around 74%, and capacity that once went to heat rejection returned to revenue-generating compute.
Built for the Demands of Financial Infrastructure
Financial services organizations rely on some of the world's most demanding AI and high-performance computing (HPC) environments. From low-latency trading and real-time risk analysis to AI-powered fraud detection and quantitative modelling, financial infrastructure requires consistent performance, maximum reliability, and the ability to scale compute without thermal constraints.
ZutaCore HyperCool removes thermal barriers, enabling high-density AI infrastructure with consistent performance, greater efficiency, and room to scale.
Maintain stable CPU and GPU performance for latency-sensitive trading, analytics, and financial workloads without thermal throttling.
Support next-generation processors and AI-driven financial applications with cooling designed for modern high-power compute environments.
Protect sensitive systems with ZutaCore’s two-phase direct-to-chip cooling that removes heat efficiently while keeping water away from servers.
Thermal Challenges Facing Financial Institutions
Latency Performance Risks
Thermal instability and processor throttling can introduce latency variability that impacts trading performance and real-time analytics.
Compute Density Growth
Next-generation CPUs and GPUs are driving power densities beyond the limits of traditional air cooling in financial data centers.
Colocation Capacity Limits
Space, power, and cooling constraints in colocation facilities restrict the ability to scale high-performance financial infrastructure.
The HyperCool® Solution
Direct-To-Chip Cooling
HyperCool removes heat directly from the processors powering trading platforms, AI analytics, and market data systems. This enables higher compute density per rack and consistent performance for latency-sensitive financial workloads without thermal throttling.
Retrofit Ready, Waterless by Design
Unlike immersion or traditional liquid cooling that relies on water near electronics, HyperCool uses a closed-loop two-phase system that keeps water away from servers. This reduces operational risk while enabling efficient cooling in colocation environments where reliability is critical.
Energy Savings
HyperCool reduces cooling power requirements by up to 70%, helping financial institutions lower operational costs while supporting increasingly dense compute infrastructure used for trading, analytics, and AI workloads.
Sustainability Built In
Financial infrastructure often operates across strategic colocation facilities near exchanges and market hubs. HyperCool’s modular architecture allows organizations to deploy high-density compute and scale infrastructure without costly facility redesign or additional cooling systems.
Waterless Liquid Cooling for Financial Services Infrastructure
Heat kills performance. Water is a risk you don't need to take. Financial institutions deploy ZutaCore® HyperCool® to eliminate both.
Two-phase direct-to-chip cooling evaporates a dielectric fluid straight off the processor — holding AI, risk, and real-time workloads at full speed when it matters most. Roughly three-quarters less cooling energy. No water near the electronics. More density from the footprint you already have. Cooling stops being a constraint and becomes an edge.
Future-Proof Your Estate
AI infrastructure will continue to evolve — your data centers should evolve with it. HyperCool lets financial institutions adopt new processors and expand analytics, risk, and AI capacity without abandoning existing investments, from a single rack retrofit in colocation to estate-wide modernization. .
What Our Clients Are Saying
Christopher M. Sullivan
Director, Research & Academic Computing, Oregon State University
Holger Angenent
Leader of CIT e-Science Infrastructure Group at University of Münster
Maurizio Davini
CTO at University of Pisa