Industries - Security

Maximum uptime for the most critical IT workloads

Use Case:

Threat detection & response

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AI-driven security analytics

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Zero trust infrastructure

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Data sovereignty & compliance

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SIEM & log processing

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On-premise security operations

use case:

Threat detection & response

use case:

AI-driven security analytics

use case:

Zero trust infrastructure

use case:

Data sovereignty & compliance

use case:

SIEM & log processing

use case:

On-premise security operations

Iceotope for Security

Enterprise security workloads like real-time threat detection, AI-driven analytics, and high-volume log processing have zero tolerance for downtime. Iceotope precision liquid cooling technology enables security teams to run these workloads on-premise without the thermal constraints, noise, or energy overhead of air-cooled infrastructure, which strengthens privacy, compliance, and protection against unauthorized breaches.

By keeping critical systems and sensitive data within a secure perimeter, Iceotope supports data sovereignty, simplifies compliance, and addresses the risks of public cloud environments.

why iceotope

High-performance, highest-uptime security infrastructure

On-premise precision liquid cooled systems keep data, workloads, and security configurations within an organization's physical and logical perimeter. Iceotope-powered on-premise infrastructure is ideal for regulated industries where chain-of-custody over data is non-negotiable and five nines availability is mandatory.

Full control over infrastructure

Network segmentation, custom access controls, and air-gapping are straightforward to implement, access and audit.

Reduced Exposure to Risk

Eliminating reliance on public cloud for sensitive workloads removes multi-tenancy risk and limits the exposure of third-party breaches.

Sustained performance for always-on workloads

Fanless operation eliminates the most common point of mechanical failure, delivering maximum reliability and uptime.

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Reference Designs

Precision liquid cooling solutions ready for the next generation of AI.

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Edge

Reference Design

A liquid-cooled AI inferencing cluster that integrates compute, cooling, networking, memory and storage into a compact solution that can be deployed in almost any environment, without requiring facility water or dry chillers.

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Datacenter

Reference Design

Liquid-cooled data center solutions designed to handle the increasing demands of high-density, low-latency workloads. Compatible with existing rack deployments, KUL AI ensures stable thermal management, even under peak load conditions.

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learning hub

Explore Iceotope's library of blog posts, whitepapers, and videos.

Overcoming the “Big Commitment”: How Co-Development Will De-Risk the Future of AI Infrastructure

Liquid cooling is now essential for AI workloads. Learn how co-development between OEMs, fluid suppliers, and infra partners is de-risking enterprise adoption.

Supporting next-gen liquid cooling through co-development

Supporting next-gen liquid cooling through co-development

Iceotope scales precision liquid cooling technology by embedding it in OEM products, accelerating development through collaboration and shared IP, not vendor competition.