Deployment Model
Hybrid
On-premise sovereign core with accredited cloud burst
Case Study
Government Hybrid AI
Government agencies worldwide are racing to adopt artificial intelligence, but face unique constraints around data sovereignty, security accreditation, and procurement. stack8s provides a hybrid AI platform that lets agencies run GPU-accelerated workloads on sovereign infrastructure while bursting into accredited cloud when demand exceeds on-premise capacity.
Security Posture
Air-Gap
Fully disconnected operation for classified workloads
GPU Providers
15+
Accredited UK and EU cloud GPU providers available
The Challenge for Government AI
Governments recognise that AI will transform public services, national security, and scientific discovery. However, the path from ambition to production is obstructed by legacy infrastructure, fragmented tooling, strict compliance regimes, and limited GPU access. These challenges are compounded when workloads span multiple classification levels and departmental boundaries.
Data Sovereignty and Classification
Government data often spans multiple classification levels and jurisdictions. AI workloads must run within strictly controlled boundaries with full auditability.
Legacy Infrastructure Lock-In
Agencies rely on ageing on-premise systems that were never designed for GPU-accelerated AI, creating bottlenecks as demand for ML capabilities grows.
Procurement and Compliance Friction
Multi-year procurement cycles, security accreditation frameworks, and vendor lock-in clauses slow the adoption of modern AI infrastructure.
Talent and Operational Gaps
Small platform engineering teams must support an expanding portfolio of AI use cases across departments with varying levels of technical maturity.
Cloud Cost Unpredictability
Public cloud GPU pricing is volatile and difficult to forecast within fixed government budget cycles, making sustained AI programmes hard to plan.
The Hybrid AI Operating Model
stack8s enables a hybrid operating model purpose-built for government constraints. Agencies maintain full sovereign control over their core AI infrastructure on-premise, while transparently extending capacity into accredited cloud providers during peak demand. The platform abstracts away the complexity of multi-site GPU orchestration so teams can focus on outcomes, not infrastructure plumbing.
Hybrid Deployment Architecture
Sovereign On-Premise
- ▸Classified AI workloads
- ▸Air-gapped environments
- ▸Full audit and key management
- ▸Local GPU fleet orchestration
stack8s Control Plane
- ▸Unified multi-site management
- ▸Policy-driven scheduling
- ▸RBAC and tenant isolation
- ▸Marketplace and self-service
Accredited Cloud Burst
- ▸On-demand GPU scaling
- ▸Pre-approved providers only
- ▸Encrypted data transit
- ▸Automatic workload repatriation
Designed for Government Reality
stack8s is built with deep understanding of public sector procurement, accreditation, and operational governance. The platform is designed from the ground up to satisfy compliance frameworks while delivering the velocity that modern AI programmes demand.
No Vendor Lock-In
Built on Kubernetes and open-source foundations, stack8s avoids proprietary abstractions. Agencies retain full portability and can operate across multiple hardware vendors, cloud providers, and geographic regions without re-architecting.
Platform Capabilities
🛡️
Sovereign Control Plane
Full operational control stays within national infrastructure. No data leaves the boundary unless explicitly permitted by policy.
☁️
Hybrid Cloud Burst
Seamlessly extend on-premise GPU clusters into accredited cloud providers when workloads demand temporary scale.
🔒
Multi-Tenant Isolation
Departments and agencies operate in isolated projects with independent RBAC, quotas, and audit trails on shared infrastructure.
🚫
Air-Gap Ready
Deploy fully disconnected stack8s environments for classified workloads with no external network dependencies.
⚡
Unified GPU Orchestration
Manage heterogeneous GPU fleets across on-prem, edge, and cloud from a single control plane with automated scheduling.
📋
Compliance-First Architecture
Built-in audit logging, policy enforcement, encryption at rest and in transit, and integration with government identity providers.
Government AI Use Cases
From national security to citizen services, government agencies are deploying AI across a wide spectrum of mission-critical domains. stack8s provides the secure, scalable foundation these workloads require.
Intelligence and Surveillance Analysis
Process satellite imagery, signals intelligence, and multi-source data streams with GPU-accelerated computer vision and NLP pipelines.
Fraud Detection and Financial Crime
Train and deploy real-time anomaly detection models across large-scale transaction datasets in compliant, air-gapped environments.
Citizen Services and Document Processing
Automate form processing, identity verification, and case triage with on-premise LLMs that keep citizen data within sovereign boundaries.
Cybersecurity and Threat Intelligence
Run continuous threat detection models across network telemetry, leveraging GPU inference for near-real-time response at national scale.
Defence Simulation and Digital Twins
Execute high-fidelity simulation workloads on hybrid GPU pools, bursting to accredited cloud when on-premise capacity is exceeded.
Public Health and Epidemiology
Model disease spread, analyse clinical trial data, and run genomic pipelines within secure, multi-tenant research environments.
Platform / AIK Architect
Right-Size GPU for Every Government Workload
Government teams often lack dedicated GPU expertise. AIK Architect, the built-in solution architect copilot, guides departments through workload requirements, captures constraints like classification level, data residency, and budget ceiling, then recommends the optimal GPU configuration with full cost and performance trade-offs.
Workload Assessment
Captures mission requirements, model architectures, dataset sensitivity, and compliance context to determine the right compute path.
Policy-Aware Recommendations
Factors in data residency rules, accreditation levels, and approved provider lists when recommending deployment options.
Budget Optimisation
Models total cost of ownership across on-prem and cloud burst scenarios, helping agencies plan within fixed fiscal year budgets.
GPU Compute Recommendations
Presents deployment-ready compute options (A100, H100, B200, and more) with memory, throughput, and budget comparisons tailored to government procurement.
Integrated AI and Data Ecosystem
stack8s supports the open-source ecosystem already trusted by government data science teams, enabling faster adoption without major workflow changes or proprietary dependencies.
Outcomes for Government Teams
Accelerated AI Adoption
Reduce the time from AI ambition to production deployment from years to weeks with self-service GPU environments and pre-configured tooling stacks.
Maintained Sovereignty
Keep sensitive data and models within national infrastructure boundaries while still accessing modern AI capabilities and cloud-scale GPU resources.
Predictable Costs
Combine owned on-premise GPU capacity with metered cloud burst to smooth expenditure across fiscal year budgets and avoid runaway cloud bills.
Cross-Department Collaboration
Share infrastructure securely across agencies with project-level isolation, enabling collaborative AI programmes without compromising departmental boundaries.
Enabling the Next Generation of Government AI
As governments invest in national AI strategies, the infrastructure layer becomes the critical enabler. stack8s provides the secure, hybrid, Kubernetes-native platform that bridges sovereign requirements with modern AI operating models, giving agencies the tools to deliver on their AI mandates without compromising on security or control.
Whether operating in fully air-gapped classified environments or hybrid multi-cloud deployments, stack8s adapts to the operational reality of government technology teams.