Iozera Partners with ZutaCore for Sustainable AI Infrastructure

Iozera Partners with ZutaCore for Sustainable AI Infrastructure

Iozera has signed an MOU with ZutaCore to enhance AI infrastructure sustainability using waterless liquid cooling technology.

Iozera has signed a Memorandum of Understanding (MOU) with ZutaCore to advance sustainable AI infrastructure, announced in a press release. This partnership aims to integrate ZutaCore's HyperCool technology, a waterless liquid cooling system, into Iozera's AI data centers to improve energy efficiency and reduce costs.

ZutaCore's HyperCool technology employs a direct-to-chip pool boiling system, which efficiently dissipates heat from processors, allowing GPUs to maintain peak performance while significantly lowering energy consumption. This innovative approach is designed to meet the increasing demands of AI workloads by providing effective heat and power management.

Iozera is actively working to secure over 900 MW of power and land across ten global regions, including the United States, India, and Southeast Asia. The collaboration will enable Iozera to handle the extreme thermal loads of advanced GPUs, such as NVIDIA Hopper H200 and Blackwell B100/B200, while eliminating water dependency and reducing the total cost of ownership.

The partnership will also focus on co-developing AI-optimized data center blueprints tailored for high-density compute clusters and regions with limited energy or water resources, promoting sustainable scalability across hyperscale and edge environments.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like Silicon Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more