Compute
Dedicated NVIDIA GPU environments engineered for training, fine-tuning and inference, with the operational controls needed for enterprise deployment.
AI Factory
Build and Operate Enterprise AI Factories
An AI Factory is a production environment that turns infrastructure into intelligence — owned, operated and consumed under one operating model.
Overview
What is an AI Factory?
An AI Factory is a production-grade environment for building, running and consuming AI — not a conventional data centre with GPUs added later. It combines accelerated compute, high-speed fabric, AI storage, workload orchestration and a token layer so organisations can train, fine-tune and serve models with operational control.
Dimension AI builds, owns and operates AI Factories as a managed service. Customers can consume dedicated or shared capacity, run private environments, and purchase intelligence through token-based models without assembling every layer themselves.
Capabilities
Dimension AI Factory architecture
Five tightly coupled layers turn hardware into a system that enterprises can operate, govern and scale.
Fabric
High-speed InfiniBand and RoCE interconnect that links GPUs, storage and services into one low-latency cluster fabric.
Storage
Parallel filesystems, NVMe and object storage for training datasets, checkpoints, model artefacts and production inference pipelines.
Orchestration
Kubernetes, SLURM and multi-tenant isolation to schedule, separate and observe workloads with enterprise operational governance.
Token Factory
Model endpoints, scalable inference and Token-as-a-Service so applications consume AI with predictable commercial and operational control.
Capabilities
Public vs private AI Factory
Choose the tenancy and control model that matches your data, jurisdiction and operating requirements.
Public AI Factory
Multi-tenant, consumption-based access to shared AI Factory capacity when flexibility and speed to consume matter more than isolation.
Private AI Factory
Single-tenant infrastructure for organisations that need dedicated resources, stronger isolation and an environment configured around their operating model.
Sovereign AI Factory
Country-specific deployment with residency and compliance controls, built for organisations that must keep AI workloads inside a defined jurisdiction.
AI Factory-as-a-Service
Dimension AI designs, builds and operates the environment so you can consume AI Factory capacity without owning every layer of the stack.
Capabilities
Workloads the factory is built for
Training
Large-scale model training on GPU clusters with the fabric and storage throughput required to keep accelerators busy.
Fine-tuning
Customise foundation models with your data on managed infrastructure, without standing up a separate platform for every project.
Inference
Serve production models through scalable endpoints with the reliability and observability enterprise applications require.
Agentic AI and HPC
Support agentic workloads and high-performance computing that need tightly coupled compute, not only bursty API calls.
Capabilities
Security, sovereignty, scale and operations
Enterprise control
Isolation, scheduling and observability are part of the architecture, not an afterthought bolted onto raw GPU servers.
Regional execution
Factories are deployed across interconnected AI Corridors, with Singapore as headquarters and operating environments in Indonesia and Thailand.
Managed operations
Monitoring, capacity planning, performance optimisation, lifecycle management and operational governance are delivered as managed AI Factory operations.
FAQ
Questions teams ask
What is included in a Dimension AI Factory?
An AI Factory spans accelerated compute, high-speed fabric, AI storage, orchestration and a token layer for consuming inference and model endpoints. Dimension AI can build, own and operate the environment as a service.
Is an AI Factory the same as a GPU cloud?
GPU as a Service is one way to consume factory compute. An AI Factory also includes the fabric, storage, orchestration, operations and consumption models needed to run AI as a production system.
Where does Dimension AI operate AI Factories?
Singapore is the headquarters and primary hub. Dimension AI also operates deployed environments in Indonesia and Thailand, with further corridor expansion in the pipeline.
Related services
Continue through the platform
GPU as a Service
Bare Metal GPU, GPU instances and GPU clusters inside the factory.
Inference as a Service
Consume production inference without managing every infrastructure layer.
Singapore operations
Headquarters and primary AI Factory hub.
Case studies
How Dimension AI infrastructure is deployed at scale.
