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Nautilus Data Technologies announced that its EcoCore® Facility Cooling Distribution Unit (FCD) has been recognized as NVIDIA-Validated AI Factory Infrastructure that meets the requirements for AI factory and data center deployments. Now available globally with proven deliver times of 15 weeks from order.

Nautilus Data Technologies' EcoCore® Facility Cooling Distribution Unit (FCD) has been recognized as NVIDIA-Validated AI Factory Infrastructure and is now listed on NVIDIA's DSX Infrastructure Marketplace. Among liquid-to-liquid cooling systems in the directory, the EcoCore® FCD holds the highest rated capacity and is the first to achieve large-scale CDU validation. The unit was tested against more than 100 NVIDIA technical requirements, demonstrating: • 4.1 MW cooling capacity in N-mode dual-pump operation • 3.2 MW in N+1 mode, the highest among liquid-to-liquid systems listed • A 2°C approach temperature difference, less than half the 4.8°C reported for competing systems Read the full announcement: https://lnkd.in/guNeyYix/?utm_campaign=AIProspecting&utm_source=linkedin&utm_medium=paid&utm_id=776979294&hsa_acc=515926368&hsa_cam=776979294&hsa_grp=427961334&hsa_ad=1508417004&hsa_net=linkedin&hsa_ver=3 #EcoCore #NVIDIADSX #AIFactory #LiquidCooling #DataCenterCooling #AIInfrastructure

The liquid cooling transition in colocation is not being led by the providers. It is being forced by their tenants. An AI company signs a contract requiring direct-to-chip cooling for a 100-rack deployment. The provider upgrades cooling distribution, power delivery, and monitoring to win it. Once that infrastructure is in place, every tenant in the facility inherits better thermal performance. One anchor tenant pulls the entire building forward. We call this the pull-through effect, and it is reshaping data center economics. Adoption of liquid cooling among AI servers is on track to reach 57% this year, up from 23% a year earlier. That is not gradual market evolution. That is demand-side pressure from tenants who treat cooling as a non-negotiable line in the contract. For AI companies, the implication is direct: your cooling requirements are leverage, not a constraint you accept. For providers, the facilities that move first capture the workloads. The ones that wait lose them. We break down the pull-through effect here: https://lnkd.in/gFUQhDix #LiquidCooling #DataCenters #AIInfrastructure #Colocation

📣 We have some really big news... 📣 We have completed independent performance testing and validated our EcoCore Facility Cooling Distribution unit (FCD) capabilities exceed stated specifications and demonstrates readiness for Vera Rubin class AI infrastructure and the next generation of high density liquid cooled deployments. In fact, our FCD demonstrates readiness for the 2026, 2027 and 2028 GPU roadmaps. And no, you don't have to wait months for the EcoCore FCD. In fact, typical lead times are 12-16 weeks from order to install. If you are needing future-ready liquid cooling, Nautilus EcoCore must be in your evaluation set. https://lnkd.in/ghFjYQ-t/?utm_campaign=AIProspecting&utm_source=linkedin&utm_medium=paid&utm_id=776979294&hsa_acc=515926368&hsa_cam=776979294&hsa_grp=427961334&hsa_ad=1333182204&hsa_net=linkedin&hsa_ver=3

Embrace the future of data centers with Nautilus Data Technologies. - 3.2 MW per unit rated capacity - Flow rates exceeding 5,000 liters per minute - Validated compatibility with 2027-28 GPU platforms - Tightest ATD in the industry as low as 2°C - 650,000+ hours of real-world operational experience Our groundbreaking liquid cooling systems offer unmatched efficiency, enabling you to handle high-density and AI-driven workloads effortlessly. Achieve unparalleled sustainability with our zero-water, leak-proof operations while scaling for hyperscale demands. Discover how we can transform your infrastructure today

AI Is Redefining the Data Center, But You Don’t Have to Start From Scratch Most existing data centers were built for rack densities far below the demands driven by today’s AI and HPC workloads. Conventional fixes like in-rack cooling quickly hit limits in cost, disruption, and scalability. In our latest blog, “Retrofitting for AI: How to Add High-Density Cooling Without Rebuilding Your Data Center,” we challenge the assumption that supporting AI always means building new facilities and/or disrupting production operations. Instead, we show how facility-scale liquid cooling, deployed outside of white space and designed for modular growth, lets operators: • Add high-density cooling capacity without tearing up live halls • Phase AI workloads alongside legacy infrastructure • Scale in weeks or months rather than years • Support direct-to-chip, rear-door, immersion and hybrid cooling strategies • Future-proof against evolving compute demands and density ceilings The result? A retrofit strategy that enhances performance and flexibility without costly rebuilds, and positions your infrastructure for the AI era. Read the full article: https://lnkd.in/gduCDcau #AIInfrastructure #DataCenter #LiquidCooling #HighDensity #EdgeComputing #Sustainability #TechLeadership