ZutaCore Secures $100M for Waterless Two-Phase Cooling in AI Data Centers

Jun 04, 2026 - 18:59
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ZutaCore Secures $100M for Waterless Two-Phase Cooling in AI Data Centers

ZutaCore has secured one hundred million dollars in Series C funding to accelerate the global commercialization of waterless two-phase cooling technology for demanding computing environments. Backed by strategic corporate investors including Mitsubishi Electric and Samsung Electronics, the capital will support expanded deployments and targeted research into megawatt-scale thermal management solutions. The company aims to integrate its phase-change direct-to-chip systems alongside existing infrastructure as artificial intelligence processors continue to push beyond traditional power envelopes.

Data center operators are confronting a fundamental thermal ceiling as artificial intelligence workloads demand unprecedented power densities across global computing facilities. Traditional air cooling and conventional single-phase liquid systems struggle to dissipate heat from modern processors that now exceed four thousand watts per chip. This physical limitation threatens to stall the expansion of high-performance computing infrastructure unless new thermal architectures emerge. The industry is actively searching for reliable solutions that can maintain sustained performance without requiring complete facility overhauls or extensive structural modifications.

ZutaCore has secured one hundred million dollars in Series C funding to accelerate the global commercialization of waterless two-phase cooling technology for demanding computing environments. Backed by strategic corporate investors including Mitsubishi Electric and Samsung Electronics, the capital will support expanded deployments and targeted research into megawatt-scale thermal management solutions. The company aims to integrate its phase-change direct-to-chip systems alongside existing infrastructure as artificial intelligence processors continue to push beyond traditional power envelopes.

What drives the shift toward waterless two-phase cooling?

The transition away from conventional thermal dissipation methods stems directly from the exponential growth of machine learning training clusters and high-performance computing workloads. Modern graphics processing units and tensor cores generate heat concentrations that single-phase liquid loops cannot efficiently remove during sustained computational cycles. Phase-change heat transfer operates by leveraging the latent heat of vaporization at the component level to extract thermal energy rapidly. This physical mechanism removes heat far more effectively than conductive cooling alone, preventing hardware throttling under heavy loads. Facility operators must consider how phase-change mechanisms interact with existing power distribution networks to ensure stable operation across dense server arrays.

Hyperscale facilities are increasingly evaluating hybrid deployment models that bridge legacy air systems with modern liquid architectures to manage rising power densities. A complete facility retrofit presents significant financial and operational risks for existing infrastructure owners who must maintain continuous service levels. Incremental adoption allows data center managers to upgrade specific rack rows while maintaining baseline cooling capacity elsewhere in the building. This phased approach reduces capital expenditure volatility and minimizes downtime during technology transitions across large-scale computing campuses.

Thermal management has evolved from a secondary utility into a primary determinant of compute scalability for next-generation hardware platforms. When processors cannot maintain optimal operating temperatures, clock speeds degrade and overall cluster throughput suffers significantly during prolonged training runs. Engineers are now designing cooling loops that operate directly against silicon substrates rather than relying on intermediary heat spreaders or thermal interface materials. This direct-to-chip methodology eliminates thermal resistance layers that historically bottlenecked performance gains for demanding artificial intelligence applications.

How does ZutaCore approach thermal management at scale?

The company has developed a waterless platform designed to interface directly with high-wattage processors without requiring traditional dielectric fluids or complex fluid handling systems. By utilizing phase-change dynamics, the system removes heat through controlled vaporization and condensation cycles within sealed internal channels. This design eliminates the need for extensive plumbing infrastructure that often complicates maintenance routines in enterprise environments. Operators can deploy these units alongside standard server racks without modifying existing power distribution networks or structural cooling loops.

Commercial validation has already progressed beyond laboratory testing into active production environments across multiple continents and diverse computing sectors. The organization reports seventy-five operational deployments spanning North America, Europe, and Asia where two-phase cooling functions reliably within enterprise data centers. These installations demonstrate that advanced thermal regulation can operate effectively alongside conventional infrastructure while prioritizing uptime and energy efficiency metrics. Each deployment provides real-world thermal data that informs subsequent product iterations and system-level optimizations for larger compute clusters.

Scaling these systems to megawatt-class configurations requires precise coordination between component design and facility architecture to maintain stable operating conditions. Engineers must account for pressure differentials, flow rates, and thermal expansion coefficients across thousands of interconnected nodes within dense server racks. The company has expanded its executive leadership team to include specialists in global finance, semiconductor operations, and large-scale deployment logistics. These appointments reflect the increasing complexity of transitioning laboratory prototypes into industrial-grade infrastructure solutions that meet rigorous enterprise standards. Operational teams require specialized training to manage pressure differentials and monitor condensation cycles within these advanced thermal loops during daily maintenance procedures.

Corporate venture capital flows into hardware infrastructure have accelerated as artificial intelligence workloads demand specialized thermal solutions beyond traditional capabilities. Major technology investors recognize that cooling technology represents a critical bottleneck for next-generation processor roadmaps and sustained computational growth. Mitsubishi Electric and Carrier Ventures are backing this funding round alongside Samsung Electronics through its dedicated corporate venture arm. These strategic partnerships provide not only essential capital but also access to established global supply chains and advanced manufacturing capabilities.

Financial backing enables sustained research into in-package thermal management techniques that address heat generation at the silicon substrate level. Traditional cooling methods struggle to keep pace with power density increases driven by advanced semiconductor node architectures and higher clock speeds. Investors are prioritizing companies that can deliver scalable solutions without requiring complete data center reconstruction or extensive facility upgrades. The capital injection supports both product development and commercial expansion efforts aimed at hyperscalers, neocloud providers, and demanding enterprise compute environments globally.

What role does corporate investment play in enterprise cooling adoption?

Corporate venture arms typically seek technologies that align with broader industrial sustainability goals and operational efficiency improvements across computing centers. Liquid cooling adoption reduces overall facility energy consumption by eliminating the need for massive mechanical refrigeration units and redundant power supplies. This operational shift lowers carbon footprints while improving power usage effectiveness metrics across modern data infrastructure networks. Strategic investors are positioning themselves to benefit from the structural transformation of global data centers as computational demands continue to rise exponentially worldwide.

Modern accelerator architectures require cooling solutions that match their specific physical form factors and precise power delivery specifications for optimal performance. The OmniTherm cold plate represents a targeted approach designed specifically for NVIDIA RTX PRO 6000 Blackwell Server Edition graphics processing units to ensure compatibility. This component enables waterless two-phase thermal regulation within a standard single-slot peripheral component interconnect expansion chassis without requiring custom enclosures. Such compatibility ensures that cooling upgrades can occur seamlessly while maintaining traditional server architectures and existing hardware deployment workflows.

Component-level integration allows hardware manufacturers to maintain conventional server designs while upgrading individual thermal subsystems for improved heat dissipation capabilities. Data center operators benefit from this modularity because it simplifies procurement, installation procedures, and routine maintenance workflows across large computing facilities. Engineers can replace aging cooling components with newer two-phase units without disrupting adjacent rack infrastructure or compromising overall system stability. This targeted upgrade path reduces technical debt and accelerates the deployment of high-density computing nodes across existing operational environments efficiently.

The industry is witnessing a broader migration toward specialized thermal interfaces that address specific processor power envelopes with greater precision. As artificial intelligence models grow in complexity, individual chip packages generate intense heat concentrations that conventional spreaders cannot dissipate effectively during peak loads. Direct liquid contact at the silicon surface eliminates intermediate thermal resistance layers that historically limited performance scaling for advanced accelerators. This precision approach ensures that computing hardware operates within optimal temperature ranges during sustained computational workloads without experiencing thermal throttling events.

The integration of waterless cooling platforms into existing data center ecosystems requires careful planning to ensure compatibility with current power delivery systems. Facility managers must evaluate rack density requirements alongside thermal output specifications when selecting between single-phase and two-phase architectures. This evaluation process determines whether incremental upgrades or complete system replacements yield better long-term operational efficiency. Organizations that prioritize flexible deployment strategies will navigate the transition more effectively while maintaining continuous service availability for critical computing tasks.

Why is component-level integration critical for next-generation hardware?

Research into in-package thermal regulation continues to advance as semiconductor manufacturers push processor power limits beyond conventional boundaries. Engineers are developing micro-channel heat exchangers that operate directly within silicon substrates to extract heat at the source. This approach minimizes thermal resistance between the processing core and the cooling medium, allowing accelerators to sustain higher clock speeds during intensive training cycles. The ongoing refinement of these technologies will dictate the scalability limits of future artificial intelligence clusters and high-performance computing facilities worldwide.

The cooling infrastructure sector is undergoing a fundamental restructuring driven by the physical limits of traditional heat dissipation methods in modern data centers. Financial commitments from major corporate investors validate the necessity of advanced thermal architectures for future computing scales and expanding artificial intelligence workloads. Companies that successfully bridge laboratory innovation with industrial deployment will define the next generation of global data center design and operational standards. Thermal management has firmly transitioned from an auxiliary utility into a core computational enabler, shaping how high-performance systems will operate for years to come.

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Christopher Holloway

Christopher Holloway is the founder and director of Progressive Robot, a UK-based technology company. A full-stack engineer with more than two decades of experience, he works across PHP development, ecommerce, Linux infrastructure, technical SEO and AI automation, and writes here on technology, AI, hardware and software.

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