AI data centre projects cannot be reduced to a hardware list. Compute density, networking, storage, cooling, power, deployment speed and operating requirements change with each application scenario.
OMNI combines compute, facility infrastructure and delivery planning according to the actual deployment environment.
High-density GPU and accelerated-computing environments for model training, inference, HPC and other compute-intensive workloads.
AI platforms, research environments, enterprise AI, compute operators and GPU infrastructure projects.
Bringing compute density, network bandwidth, storage throughput, cooling and power delivery into one reliable architecture.
Dedicated AI infrastructure for organisations that require greater control over data, compute resources, deployment architecture and operating environment.
Enterprises, regulated environments, private AI platforms and dedicated internal AI workloads.
Balancing AI performance with isolation, security, manageability and enterprise infrastructure standards.
Rapid-deployment infrastructure for projects requiring compact, integrated and relocatable data centre environments.
Industrial sites, remote locations, temporary capacity, regional expansion and fast-deployment projects.
Fitting compute, cooling, power, safety and operations into a constrained environment while maintaining reliability.
Distributed computing environments located closer to users, industrial systems, data sources and latency-sensitive workloads.
Industrial computing, distributed AI, smart infrastructure, local inference and regional workloads.
Delivering reliable infrastructure in smaller, distributed environments with limited on-site support.
Tell OMNI what you are building, where it will operate and what infrastructure constraints the project needs to solve.