ON-PREMISE
Dedicated AI infrastructure within your own facility, designed and commissioned by Peregrine.
Private AI Cloud
Your AI. Your data. Your infrastructure.
Dedicated AI infrastructure with cloud-style access and greater control over capacity, data residency and deployment.
Why Private AI Cloud
Cloud flexibility. Dedicated infrastructure.
Public cloud offers elasticity and breadth; many organisations use it well and should continue to. But for sustained AI workloads, sensitive data or specific residency requirements, a dedicated environment can offer more control and more predictable economics.
Private AI Cloud is an AI environment designed around your organisation rather than adapting your workloads to generic infrastructure — with the self-service access patterns your teams expect.
DATA CONTROL
Your data and models stay within infrastructure allocated to you, with access designed around your governance requirements.
DEDICATED CAPACITY
GPU infrastructure reserved for your organisation rather than shared with other tenants.
PREDICTABLE INFRASTRUCTURE
Known capacity, known architecture and a consistent operating model for production AI.
AUSTRALIAN DATA RESIDENCY
Deployments can be designed so data and compute remain in Australia where required.
INFRASTRUCTURE ISOLATION
Network, storage and compute isolation designed to support sensitive workloads.
FLEXIBLE DEPLOYMENT
On-premise, colocation, Peregrine-hosted or hybrid, depending on your requirements.
Deployment models
Where your Private AI Cloud runs.
COLOCATION
Your dedicated infrastructure in an Australian colocation facility, integrated and operated by Peregrine.
PEREGRINE-HOSTED
Dedicated capacity within Peregrine's Australian-hosted infrastructure, subject to availability.
HYBRID
Dedicated infrastructure combined with Peregrine capacity or public cloud for peaks and specialised workloads.
Operating models
Choose how much Peregrine operates.
Infrastructure can be designed to support customer security, governance and compliance requirements.
PEREGRINE MANAGED
Peregrine operates the full platform layer — cluster, scheduling, serving, monitoring and upgrades — as a monthly managed service.
- Lowest internal operational load
- Consistent platform across locations
- Your team focuses on models and applications
SHARED RESPONSIBILITY
Peregrine operates infrastructure and core platform; your team manages application-level tooling and workloads.
- Clear division of responsibilities
- Suits teams with existing MLOps practice
- Peregrine on call for infrastructure
CUSTOMER OPERATED
Peregrine designs and commissions the environment; your team operates it with documentation and optional support.
- Full internal control
- Suits mature platform teams
- Peregrine available for upgrades and expansion
Get started
Design Your Private AI Cloud.
Tell us about your workloads, data requirements and preferred deployment. A compute specialist will propose a Private AI Cloud architecture and operating model.
Prefer to talk first?
A short call is often the quickest way to understand whether Private AI Cloud, GPU capacity or a build fits best.