Computational Sovereignty

算力主權

This domain serves as a reference point for examining how control over computation is becoming a condition of sovereignty.

Computational sovereignty is not defined only by owning data centers, chips, or domestic models.

It emerges through export controls, cloud access gates, accelerator allocation, scheduling priorities, and energy-linked compute policy.

It becomes visible when institutions decide who can run large-scale training or inference, under which standards, and at what cost.

As critical services become model-dependent, compute access functions less like a commodity and more like governing infrastructure.

This site does not prescribe industrial strategy, security doctrine, or regulatory design.

It does not provide procurement guidance, compliance services, or infrastructure products.

Its purpose is to mark a structural transition in which compute capacity becomes a jurisdictional lever across states, platforms, and supply chains.

This page deliberately maintains minimalism.

It exists to ensure the term Computational Sovereignty has a stable foothold.

本網域作為一個參考標記,用於檢視:對算力的控制如何逐漸成為主權條件的一部分。

「算力主權」並不只由資料中心、晶片或本土模型的擁有與否所定義。

它透過出口管制、雲端存取閘門、加速器分配、排程優先序與能源連動的算力政策逐步形成。

當機構開始決定誰可以執行大規模訓練或推論、依何種標準、並以何種成本執行時, 這個問題就會變得可見。

隨著關鍵服務愈來愈依賴模型系統,算力存取也愈來愈不像一般商品, 而更像治理型基礎設施。

本站不提供產業戰略、安全主義或監管設計建議。

亦不提供採購指引、合規服務或基礎設施產品。

它的目的,是標示一場結構性轉變:算力容量正成為可作用於國家、平台與供應鏈的管轄槓桿。

本頁刻意維持極簡。

它存在,是為了確保 算力主權(Computational Sovereignty) 這個概念有一個穩定的立足點。