Sovereign & Confidential AI
Control of Data | Control of Infrastructure | Control of Jurisdiction
AI workloads involving sensitive, regulated or strategically important data require more than computing performance. They require control over where data is stored and processed, who can access it, how workloads are segregated, and the operating environment in which the infrastructure is deployed.
US Data Centers develops secure, high-density AI infrastructure designed around these requirements.
SOVEREIGN AI
AI infrastructure designed for workloads where national or jurisdictional control over data, infrastructure and AI capabilities is critical.
Appropriate for government, regulated sectors and strategically important applications requiring enhanced control and oversight.
CONFIDENTIAL AI
Secure AI environments designed for sensitive data and workloads where privacy, confidentiality and regulatory requirements are paramount.
Confidential computing enables organizations to benefit from AI while maintaining stronger protections around sensitive information.
PRIVATE AI
Dedicated AI environments allowing organizations to use their own data, infrastructure and models with greater control over security, privacy, customization and results.
Designed for enterprises that require more control than conventional shared public-cloud environments provide.
TENANT SEGREGATION & DATA PROTECTION
Tenant-segregated environments, encryption, customer-controlled keys and confidential-computing capabilities designed to protect sensitive workloads and information.
SECURE CONNECTIVITY & OPERATING CONTROL
Secure connectivity and jurisdiction-specific operating controls designed to support protected data flows and regulated compute environments.
HIGH-DENSITY AI INFRASTRUCTURE
Secure, scalable AI compute environments engineered for demanding training, inference, industrial and mission-critical workloads.
One Infrastructure Platform. Multiple Levels of Trust.
Different workloads require different levels of sovereignty, confidentiality and operational control. USDC's approach allows infrastructure, security and operating requirements to be aligned with the needs of the customer and the sensitivity of the workload rather than applying a single cloud model to every application.
Built for Mission-Critical Applications
USDC's sovereign and confidential AI infrastructure is designed to support government, regulated industries, enterprise AI, industrial simulation, digital twins, computer vision, autonomous systems, robotics, research and other applications where security, resilience and control matter.
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