Tier III+ modular, GPU-optimized, liquid-ready. 6–8 month delivery. Transparent, scalable, AI-ready.
Tier III+ modular, GPU-optimized, liquid-ready data centers. Ultra-low latency for demanding AI workloads.
6–8 month delivery. Pre-engineered. Transparent pricing. Power and land secured.
30–50 kW/rack, EPB-connected, secure. Optimized for private AI training and inference.
Launch Tier III+ GPU data centers in 6–8 months. Pre-engineered, high-density, and ready for rapid AI deployment—where and when you need it.
Learn moreLiquid-ready, ultra-low latency modules. Built for scalable AI, cloud, and inference—engineered for efficiency and speed.
View detailsClear costs, secured land and power, and industry-leading uptime. Build your AI infrastructure with confidence.
Start nowProven by industry innovators
OnSea delivered our GPU-ready facility ahead of schedule. Their technical precision and rapid execution set a new industry benchmark.
The modular build saved us months. Transparent pricing and reliable delivery make OnSea our first choice for scalable AI infrastructure.
From planning to launch, OnSea’s team was responsive and professional. Our high-density racks operate with zero downtime.
We required ultra-low latency and fast deployment. OnSea exceeded every technical and operational expectation.
Pre-engineered modules and secured power made expansion seamless. OnSea’s process is efficient and reliable.
OnSea’s GPU expertise and fast delivery enabled us to scale AI workloads with confidence.
Essential info on modular GPU data centers, deployment speed, power, and technical specs.
A modular data center is a pre-engineered, scalable facility built for rapid deployment and high-density GPU workloads. Delivery is measured in months, not years.
Deployment typically takes 6–8 months from contract to service, thanks to pre-engineered modules and secured land and power.
Modules support 30–50 kW per rack, ideal for advanced GPU clusters. Liquid cooling and EPB connections ensure efficiency.
Yes. All modules are engineered for liquid cooling, supporting high-density GPU operations with efficient heat management.
Clients include AI cloud providers, GPU aggregators, and organizations needing dedicated AI training or inference capacity.
Pricing is clear and based on capacity, location, and service level. Land and power are secured upfront for cost certainty.
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