.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed
.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed

ZutaCore Raises $100M to Accelerate Waterless AI Cooling Expansion

As artificial intelligence infrastructure pushes power densities into uncharted territory, cooling has emerged as one of the most critical bottlenecks

Share
Waterless AI Cooling

As artificial intelligence infrastructure pushes power densities into uncharted territory, cooling has emerged as one of the most critical bottlenecks facing data center operators. ZutaCore Ltd. is betting that eliminating water from the equation could become a defining advantage in the next phase of AI infrastructure buildouts. The company announced today that it has secured $100 million in Series C funding to expand global deployments of its waterless liquid cooling platform. The investment arrives at a time when hyperscalers, cloud providers and enterprise operators are searching for cooling technologies capable of supporting increasingly power-hungry AI processors without adding pressure to energy and water resources.

The rapid rise of AI workloads has transformed data center design priorities. Modern accelerator platforms consume significantly more power than previous generations, forcing operators to rethink how they remove heat from densely packed server environments. Traditional air cooling systems struggle to keep pace with these thermal demands. Water-based cooling solutions offer greater efficiency, but they introduce operational complexity, infrastructure requirements and growing scrutiny over water consumption. ZutaCore has positioned itself at the center of this shift through a direct-to-chip, two-phase liquid cooling architecture designed to cool advanced processors without consuming water. The company says its approach can reduce cooling-related energy consumption by approximately 50% compared with conventional cooling methods while supporting higher processor power levels.

How HyperCool Uses Two-Phase Cooling

At the core of the company’s strategy is HyperCool, a sealed, closed-loop cooling system that uses a dielectric fluid rather than water. The technology transfers heat directly from processors through specially designed cold plates installed on top of the chips. Unlike conventional liquid cooling systems that circulate liquid continuously, ZutaCore’s platform leverages two-phase cooling. The dielectric fluid boils directly at the processor surface, absorbing heat as it changes phase from liquid to vapor. The vapor then travels to a coolant distribution unit, where it condenses and returns to the system for reuse.

The closed-loop design addresses one of the long-standing concerns associated with liquid cooling inside data centers. Because the dielectric fluid is nonconductive and remains contained within a sealed environment, accidental leaks do not create the same risk of electrical damage that operators typically associate with water-based cooling systems. The company’s cold plate technology supports processors from major chip vendors, including Intel, Advanced Micro Devices and Nvidia. One of the strongest arguments behind ZutaCore’s platform centers on sustainability and resource management.

Many large-scale facilities continue to depend on evaporative cooling systems that consume substantial volumes of water each year. As data center construction expands into regions facing water constraints, regulators and local communities have increased scrutiny of infrastructure projects that place additional demands on limited water supplies. ZutaCore’s technology removes water consumption from the cooling process entirely. The company also says the system can integrate into existing server environments, allowing operators to retrofit current infrastructure rather than build entirely new facilities around specialized cooling architectures. That flexibility could become increasingly important as enterprises seek faster ways to deploy AI capacity without undertaking large-scale facility redesigns.

Designed for Next-Generation AI Processors

The cooling requirements of emerging AI systems continue to rise alongside advances in chip performance. ZutaCore says its platform is engineered to support next-generation AI and high-performance computing processors consuming more than 4,000 watts. Those thermal loads exceed the practical limits of traditional air cooling and push the boundaries of many single-phase liquid cooling solutions. As rack densities move into multimegawatt territory, cooling infrastructure is becoming a strategic component of AI deployment rather than a supporting utility. Consequently, technologies capable of managing extreme thermal loads while maintaining operational efficiency are attracting increasing interest across the industry.

The company has expanded its technology portfolio as demand for AI infrastructure continues to grow. Recently, ZutaCore introduced its OmniTherm cold plate designed for Nvidia’s RTX PRO 6000 Blackwell Server Edition. The solution brings two-phase cooling to a single-slot PCIe form factor, targeting both enterprise environments and AI cloud deployments. To support customer validation and deployment planning, the company has also developed a 2-megawatt end-of-row emulation platform at its Israel facility. The environment allows customers to test cooling performance and deployment scenarios at scale before implementing systems in production environments. According to ZutaCore, the company has completed more than 75 deployments across North America, Europe and Asia, reflecting growing adoption of advanced liquid cooling technologies as AI infrastructure expands globally.

Funding Targets Global Growth and Commercial Scale

The newly raised capital will support several strategic initiatives, including global commercialization efforts, expanded research and development programs, leadership growth and support for large-scale megawatt-class deployments. The Series C round attracted participation from major industrial and technology investors, including Mitsubishi Electric, Carrier Ventures and Samsung Venture Investment Corporation. Additional investors also joined the financing round. Goldman Sachs served as the exclusive placement agent for the transaction. Commenting on the funding announcement, Chairman and Chief Executive Erez Freibach said, “$100 million of funding reflects strong validation from leading global partners and growing demand for our technology. AI is fundamentally reshaping data center infrastructure and traditional approaches are no longer sufficient.”

The AI industry has spent the past several years focused on processors, networking and power availability. Cooling now occupies an equally important position in the infrastructure stack. As processor power consumption continues to climb, operators face mounting pressure to balance performance, energy efficiency and sustainability. ZutaCore’s latest funding round signals growing investor confidence that waterless cooling could play a significant role in supporting the next generation of AI infrastructure. The company now enters its next growth phase with fresh capital, expanding deployments and a technology platform aimed directly at one of the most pressing challenges facing modern data centers.

[simple-author-box]

More from AI Infrastructure

Submer and Intel have signed a collaboration agreement to deliver artificial intelligence and high-performance

A 200MW data center project in Schladen-Werla, Lower Saxony, has reached a significant planning

Alibaba Group Holding Ltd. is tying its next phase of AI expansion to a

COMPUTE WEEKLY

The briefing that 40,000+ tech leaders read every Monday. Sharp, fast, essential.

Building an AI Startup Without Owning GPUs

Not owning GPUs has become the default, deliberate strategy for building an AI company — not a compromise founders accept reluctantly. H100 rental rates fell 64-75% in fifteen months, a dense ecosystem of neoclouds and inference-as-a-service providers now lets startups skip infrastructure entirely, and credit programs can fund a company’s first year before a founder writes a check
Most Read

A compute node sitting behind a garage door can perform the same basic computational

A project can leave a site without leaving behind the conditions that made the

A commercial operation date can look precise long before the underlying project is capable

A 5 GW AI infrastructure plan can satisfy every conventional site-selection requirement and still

A fire strategy becomes expensive when the building has already decided where walls, equipment,

Disruptor Spotlight

Cerebras Systems

The chip that makes Nvidia nervous. Cerebras’ Wafer Scale Engine is rewriting the rules of AI inference at scale.
Faster
0 x
YoY Revenue
0 x
Transistors
0 T
Market Pulse
MSFT
+1.02%
NVDA
+0.66%
AMZN
-0.078%
AMD
-6.95%
TSMC
-2.98%
Indicative only · Not financial advice
Upcoming Events
SEP
The AI Infrastructure Race (India)
WEBINAR · ONLINE
The AI Infrastructure Race: Won on Power, Land and Trust — Not Capital
MAY
0
AI Infrastructure Summit
DUBAI · IN PERSON
MEA’s premier AI infrastructure event.
JUN
0 0
Compute Forecast Summit
SINGAPORE · IN PERSON
Our flagship APAC event. Early bird open.
Latest Moves
Live
ecolab
Ecolab Deepens Cooling Strategy With $4.75B CoolIT Acquisition
Ecolab is making one of its biggest moves yet into AI infrastructure after completing its $4.75 billion acquisition of liquid cooling specialist CoolIT Systems
Pure DC AVK Europe data center microgrid Dublin 110MW AI infrastructure Ireland 2026
Pure DC and AVK Deploy Europe’s First 110 MW Data Center Microgrid in Dublin
The Pure DC Dublin microgrid has made history as Europe’s first large-scale on-site data center microgrid, launched in partnership with power solutions provider AVK at Pure DC’s campus in Ireland.
Pace Digitek
Pace Digitek Partners With MEGMEET to Expand AI Data Center Power Business
India’s AI infrastructure ecosystem continues to mature as domestic technology manufacturers move beyond traditional telecommunications and industrial markets toward high-growth digital infrastructure opportunities
Follow Compute Forecast
11K followers
1200 followers
Companies to Watch
CW
CoreWeave
Neo Cloud · $19B · IPO Watch
CB
Cerebras Systems
AI Hardware · $4.25B · Pre-IPO
G42
G42
Sovereign AI · Abu Dhabi
H
Humain
Saudi AI · $40B Fund
Latest Podcast
AI Capex, Cloud Margins & the Nuclear Bet
48 MIN · 25 APR 2026

ZutaCore Raises $100M to Accelerate Waterless AI Cooling Expansion

As artificial intelligence infrastructure pushes power densities into uncharted territory, cooling has emerged as one of the most critical bottlenecks

Share
Waterless AI Cooling
55
847 SHARES

0
SHARES

[simple-author-box]

More from AI Infrastructure

A compute node sitting behind a garage door can perform the same basic computational

A project can leave a site without leaving behind the conditions that made the

A commercial operation date can look precise long before the underlying project is capable

A 5 GW AI infrastructure plan can satisfy every conventional site-selection requirement and still

COMPUTE WEEKLY

The briefing that 40,000+ tech leaders read every Monday. Sharp, fast, essential.

Great! We’ve received your information.

Global AI Infrastructure Outlook 2026

The briefing that 40,000+ tech leaders read every Monday. Sharp, fast, essential.
Download Free
Most Read

A compute node sitting behind a garage door can perform the same basic computational

A project can leave a site without leaving behind the conditions that made the

A commercial operation date can look precise long before the underlying project is capable

A 5 GW AI infrastructure plan can satisfy every conventional site-selection requirement and still

A fire strategy becomes expensive when the building has already decided where walls, equipment,

Disruptor Spotlight

Cerebras Systems

The chip that makes Nvidia nervous. Cerebras’ Wafer Scale Engine is rewriting the rules of AI inference at scale.
Faster
0 x
YoY Revenue
0 x
Transistors
0 T
Market Pulse
NVDA
$924.60
+2.4%
MSFT
$421.30
+1.1%
AMZN
$192.80
-0.6%
NVDA
$924.60
+2.4%
NVDA
$924.60
+2.4%
Indicative only · Not financial advice
Upcoming Events
MAY
0 0
DCD Global — London
LONDON · IN PERSON
World’s largest DC event. CF is media partner.
MAY
0
AI Infrastructure Summit
DUBAI · IN PERSON
MEA’s premier AI infrastructure event.
JUN
0 0

Compute Forecast Summit

SINGAPORE · IN PERSON
Our flagship APAC event. Early bird open.
Latest Moves
  • Live
Sam Altman
OpenAI appoints new Chief Infrastructure Officer to lead $100B DC programme
27 APR · OPENAI
Sam Altman
OpenAI appoints new Chief Infrastructure Officer to lead $100B DC programme
27 APR · OPENAI
Sam Altman
OpenAI appoints new Chief Infrastructure Officer to lead $100B DC programme
27 APR · OPENAI
Follow Compute Forecast
18.4K followers
12.1K followers
9.3K subscribers
41 episodes
Companies to Watch
CW
CoreWeave
Neo Cloud · $19B · IPO Watch
CB
Cerebras Systems
AI Hardware · $4.25B · Pre-IPO
G42
G42
Sovereign AI · Abu Dhabi
CW
Humain
Saudi AI · $40B Fund
Latest Podcast
AI Capex, Cloud Margins & the Nuclear Bet
48 MIN · 25 APR 2026
Scroll to Top