CORE CAPABILITIES
Choose the right infrastructure for your AI workload
THE AI FACTORY
One factory, three ways to run AI
INFERENCE
Inference endpoints
Our engineers deploy dedicated inference endpoints for leading models, supported as a managed service.
FINE-TUNING
Fine-tuning
Adapt open models to your data with managed training workflows, then deploy straight to your endpoints.
CLUSTERS
Dedicated AI clusters
Reserved GPU clusters for training and high-volume inference. Fully isolated, fully yours.
Built in Asia.
Ready for the world.
BENEFITS
Why teams choose Aolani
Aolani gives AI teams access to GPU infrastructure built for performance, control, and dependable deployment across demanding workloads.
High-performance GPU capacity
Access NVIDIA-accelerated compute for training, fine-tuning, inference, and other compute-intensive AI workloads.
Bare Metal control
Run on dedicated physical infrastructure when your workload needs predictable performance or custom configuration.
Built for distributed AI
Support multi-GPU and multi-node workloads with infrastructure designed for high-throughput AI systems.
Close to where you build
Deploy near your teams and users on low-latency infrastructure engineered for data sovereignty.
Workload-fit guidance
Get help sizing GPU Cloud for your workload — orchestration model, reserved capacity, and dedicated clusters.
Trust-led operations
Run workloads with infrastructure designed around accountability and compliance operating practices.
Scale AI infrastructure from chip to cluster
Access dedicated GPU Cloud capacity designed for teams building the next generation of AI.
