AI Sovereignty. No GPU Required.
The Sibacus Transform enables nations to build and own their AI infrastructure using commodity ARM processors — immune to GPU export controls, supply chain disruption, and foreign API dependencies.
Sovereignty Checklist
The Sovereign AI Imperative
Nations that depend on foreign GPUs and foreign APIs for AI capability have built their intelligence infrastructure on rented ground. Sibacus eliminates that dependency.
Data Stays In-Country
Run AI inference entirely within sovereign borders. No data leaves. No foreign API dependency. Full compliance with national data residency laws.
No Export Control Risk
Sibacus runs on ARM CPUs — commodity hardware not subject to GPU export restrictions. Your AI stack is immune to geopolitical supply chain disruption.
Own Your AI Infrastructure
License the Sibacus Transform as sovereign IP. Build national AI capability on hardware you control, manufacture locally, and scale independently.
Multilingual by Default
Our validated ecosystem includes English, Chinese, French, and multilingual models. Deploy sovereign AI services across diverse linguistic populations.
Target Sovereign Programs
Nations building independent AI capability with the Sibacus Transform.
National AI compute sovereignty, Smart Nation infrastructure
Multilingual public services AI, disaster response
Sovereign AI for financial services and Arabic NLP
European AI sovereignty, GDPR-native inference
Edge AI for manufacturing, Japanese LLM deployment
Multilingual governance AI across 22 official languages
The Data Center Power Problem.
Singapore imposed a data center moratorium (2019–2022) because AI infrastructure was consuming too much of the nation's limited power grid capacity. Even post-moratorium, the EDB requires strict green sustainability compliance for every new MW allocated.
The bottleneck isn't compute — it's watts per inference. Every GPU-based model deployed in Singapore competes against residential power, public transit, and national grid stability.
Sibacus Unlocks Frozen Capacity
At the Performance tier, Sibacus delivers 80–160 tok/s at 12W per inference — versus 300W for a single GPU. This means Singapore can deploy 25× more AI inference within the same power envelope, or repurpose the saved megawatts for new data center approvals.
per MW
required
needed
Power Per Inference — Singapore DC Context
Deployment Models
Choose the engagement model that fits your sovereignty requirements.
Software License
Deploy the Sibacus Transform on your existing ARM infrastructure. Lowest barrier to entry.
- Transform runtime
- OpenAI-compatible API server
- Model conversion toolkit
- Performance monitoring dashboard
Managed Sovereign Cloud
We deploy and manage a Sibacus-powered inference cluster within your sovereign data center. Full key management stays with you.
- Dedicated ARM compute cluster
- Multi-model serving (8+ models)
- SLA-backed uptime guarantee
- 24/7 operations support
Silicon-as-a-Service
Future: Custom Sibacus Engine ASIC manufactured on sovereign-accessible 22nm FDX nodes. Maximum efficiency, full IP ownership.
- Custom BSA silicon IP
- Manufactured at GF 22nm FDX
- Sovereign IP licensing model
- Zero GPU dependency forever