Sovereign Compute for Proprietary Quant Alpha
Run high-stakes strategies on private market data with zero alpha leakage. Physically air-gapped nodes (NVIDIA/H100) inside your facility.
Zero
Leakage
Alpha stays on your hardware.
100%
Sovereignty
Physical hardware control.
Ideal Deployment Profile
The Story
The Challenge
Quant teams were forced to choose between AI efficiency in the cloud and the security of their proprietary algorithms.
The Turning Point
The need to scale LLM-based analysis across massive datasets without exposing them to public backbone networks.
The Outcome
Oxaide provides air-gapped NVIDIA nodes that execute models directly on-premise, ensuring zero data egress.
Architecture Highlights
NVIDIA / H100 hardware nodes
Redundant local vector storage
Zero external network interfaces
The Challenge
Algorithm leakage to cloud providers
Data egress regulations
Compute latency in public clouds
The Solution Architecture
Architecture Step 1
Private air-gapped compute clusters
Architecture Step 2
Local vector store for proprietary data
Architecture Step 3
Direct-on-silicon model execution
Deployment Outcomes
Request Architecture Review
Discuss how to deploy this Sovereign pattern in your own private, secure environment.