Laika builds megawatt-class power infrastructure and liquid-cooled cabinets that deploy on your existing utility service in weeks — not years. You slot in your compute. We keep it running.
The bottleneck in AI isn't GPUs or silicon.
It's power infrastructure.
New medium-voltage utility service means multi-year queues, permitting marathons, and construction before a single rack powers on.
GPUs depreciate while datacenter buildouts crawl. Every month of delay is compute you paid for and can't run.
Rack-scale AI systems demand liquid cooling and dense DC power that legacy colo and enterprise server rooms were never built for.
The middle of the stack is where schedules die — and no single vendor lives there. Laika ships it as one product.
Laika DCI delivers L3–L6 as one factory-built product — starting on your existing low-voltage service, so the interconnect queue doesn't gate your first deployment. Scale further with service upgrades or on-site generation when you need them.
Laika manufactures the complete system — power conversion, switchgear, and liquid-cooled cabinets with power pre-routed — and lands it on your existing low-voltage utility service. No new interconnect required to get started. No construction project.
Slide standard trays into pre-provisioned slots: your GPUs, your CPUs, your memory. DC power and liquid cooling are already at the cabinet, ready for rack-scale AI systems.
Laika monitors, maintains, and services the infrastructure for the life of the deployment — with uptime guarantees and hardware refresh paths built in.
A modular, rapidly-deployable datacenter engineered for next-generation rack-scale AI. Three integrated subsystems, one factory-built product.
| LAIKA | Laika DCI | Traditional datacenter |
|---|---|---|
| Deployment | Several weeks | Several years |
| Utility service | Starts on existing low-voltage service | New medium-voltage interconnect required |
| Integration | Turnkey, fully integrated from the factory | Complex on-site integration and testing |
| Compute | Bring your own GPU, CPU & memory | Locked to operator hardware or long colo terms |
| Workloads | Sovereign, dedicated, on-prem | General multi-tenant |
Stand up revenue-generating capacity without land deals, interconnect queues, or a construction org. Your GPUs earn from week one — and scale block by block.
Inference and training for finance, healthcare, energy, and defense — where data can never leave the building and a public API is a non-starter.
Dedicated compute sited next to the workload, for applications where the round trip to a distant datacenter is disqualifying.
Tell us about your workload, your site, and your timeline. We'll come back with a deployment plan measured in weeks.
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