The Infranet

Artificial intelligence depends on large-scale datasets for both training and inference. However, much of this data cannot be freely moved or centralized—it is bound by regulatory requirements, organizational policies, or jurisdictional constraints. This raises a fundamental question: how do we enable large-scale AI computation while preserving data sovereignty?

Current Internet infrastructure is dominated by centralized computing architectures. In these models, data flows to remote data centers, requiring users and organizations to relinquish control of their data to third-party providers. This fundamentally violates data sovereignty—the ability to maintain ownership, governance, and control over data within legal and organizational boundaries.

Alternatively, decentralized computing architectures distribute workloads across autonomous nodes without central coordination. However, this approach requires data replication across nodes to ensure availability and consensus, equally compromising data sovereignty. Organizations cannot guarantee where their data resides, who accesses it, or how it propagates through the network. Both centralized and decentralized models require data to move to compute, making them unsuitable to maintain data sovereignty.

To preserve data sovereignty while enabling large-scale AI computation, we must invert the traditional paradigm: instead of moving data to compute, we must bring compute to data. This requires a federated computing architecture—one that allows computation to occur across distributed, sovereign data sources without compromising control, locality, or compliance. Achieving this at scale demands seamless interoperability between diverse infrastructures, each governed by its own policies and constraints.

To enable such coordination, we propose the development of Infrastructure Internetworking standards. These standards will define how heterogeneous systems interact securely and efficiently across organizational and jurisdictional boundaries. They will form the backbone of a new digital infrastructure—an evolution of the Internet itself—capable of supporting federated AI at global scale. We call this emerging paradigm the Infranet.

Mission Statement

Our mission is to build the digital infrastructure for the Intelligence Age.

Microstacks

Stack Management System

map mount import

routers/components/services

     domain     
                  namespace                 
                             addrspace                           

Microstacks is a stack management system designed on the Unix philosophy of simplicity, modularity, and composability. It represents a stack as a hierarchical structure of router, component, and service blocks, where each block can be deployed, managed, and scaled independently across cloud and edge infrastructure. At its core, it virtualizes network addresses to decouple control plane from data plane, enabling federated deployment and vector scaling, creating a new paradigm for stack management.

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