Technology Ecosystem

Multi-vendor infrastructure built around project requirements.

OMNI coordinates technologies across compute, networking, storage, cooling, power and software to assemble complete AI infrastructure solutions.

Infrastructure ecosystem

Six technology layers behind an AI data centre.

The objective is not to force every project into one vendor stack. Equipment and systems are selected according to workload, site conditions, technical requirements and commercial constraints.

01 / COMPUTE

AI & HPC Compute

GPU servers, accelerated computing platforms, CPU systems and rack-level compute infrastructure.

02 / NETWORK

High-Speed Networking

Data-centre switching, high-bandwidth cluster networking, connectivity and supporting network infrastructure.

03 / STORAGE

Data & Storage Infrastructure

High-performance storage, data infrastructure and supporting systems for AI workload pipelines.

04 / COOLING

Cooling Infrastructure

Air cooling, liquid cooling, CDU, chillers and cooling distribution systems.

05 / POWER

Power & Facility Systems

UPS, generator, PDU, power distribution, monitoring, safety and supporting facility systems.

06 / SOFTWARE

Platform & Operations

Monitoring, infrastructure management, compute access, scheduling and operational platforms.

Technology-neutral positioning

OMNI's role is to integrate the appropriate technologies around the project requirement. The final architecture may combine multiple vendors across different infrastructure layers.

Technology ecosystem

Infrastructure integrated across multiple technology categories.

OMNI works across compute, networking, storage, cooling, power and software layers to assemble infrastructure around project requirements.

Infrastructure selection

Choose the stack around the project.

Start with workload, site, density, resilience and budget requirements, then define the appropriate technology architecture.

Discuss infrastructure requirements