Government & Sovereign AI
Public-sector AI initiatives need Australian deployment options, data residency, visibility into the infrastructure and reduced dependency on overseas capacity. Peregrine designs, builds and operates dedicated and private AI infrastructure designed with data residency and access control requirements in mind.
Infrastructure can be designed to support customer security, governance and compliance requirements. Use one service or all four.
Part 1 · Use cases
Use case 01
Assistants over agency documents, policy and correspondence, served from controlled infrastructure.
Private endpoints within agency or Australian data-centre infrastructure keep records inside jurisdiction.
GPU considerations
Use case 02
Extraction and classification of records, forms and submissions at scale.
Batch inference on PCIe platforms is cost-effective and isolated.
GPU considerations
Use case 03
Imagery, infrastructure and environmental analysis, policy modelling and scientific workloads.
Reserved capacity with quotas serves multiple agency teams fairly.
GPU considerations
Use case 04
Translation, accessibility and citizen-facing services served within controlled environments.
Audit logging and change control across the platform support assurance reviews.
GPU considerations
Part 2 · How to deploy with Peregrine
Map requirements for residency, isolation and governance to an architecture, and document deployment options with estimated economics.
Learn moreDesign and commission dedicated infrastructure in agency facilities or Australian data centres — specified, sourced, integrated and documented for review.
Learn moreOperate the platform under agreed operating models — Peregrine managed, shared responsibility or agency operated — with audit logging and change control.
Learn moreDedicated or private-cluster Australian-hosted capacity, where appropriate, as an alternative to overseas consumption.
Learn moreRecommended platforms
Indicative only; the Compute Blueprint confirms platform, interconnect and scale per project.
Hopper
Mature ecosystem with larger memory for inference of large models and training.
View platform
Blackwell
Balanced Blackwell platform for training and production inference.
View platform
Blackwell · PCIe
Cost-effective per-GPU memory for inference fleets, vision, rendering and digital twins.
View platformInfrastructure models: capital vs operating
Agencies may procure owned infrastructure through capital programmes and use dedicated capacity as an operating expense within procurement cycles. Peregrine scopes both per engagement; no prices are published on this site.
FAQ
Tell us about your government & sovereign ai workloads and deployment preferences. A compute specialist will discuss the appropriate infrastructure model.
