Definition
Compute Sovereignty is the principle and practice of running your computations on hardware you own or directly control, without dependency on a cloud provider that can revoke access, change pricing, apply usage policies, or become unavailable. It is the compute analogue of Bitcoin self-custody: your hardware, your keys, your computation.
Why it matters now
Cloud compute has become the default for most AI workloads, development pipelines, and data processing — and with that default came new dependencies. Cloud providers can suspend accounts under acceptable-use policies, raise prices at contract renewal, suffer regional outages, or be compelled by court order to freeze or produce your data. Compute sovereignty is the recognition that these risks are structurally similar to custodial risk in Bitcoin, and that the appropriate response is the same: run your own node.
The hardware dimension
Compute sovereignty requires hardware under your physical control. For AI inference, this typically means a GPU or NPU inside a machine you own; for Bitcoin mining, it means an ASIC in a facility you control. The two workloads are increasingly co-located — a Hashcenter can host both. D-Central's distributed compute model approaches compute sovereignty at a network level: many small, geographically diverse nodes rather than a single cloud dependency. The full rationale is explored at the sovereignty hub.
Related terms: Digital Sovereignty, Sovereign AI, On-Premise AI, Off-Grid Compute
In Simple Terms
Compute Sovereignty is the principle and practice of running your computations on hardware you own or directly control, without dependency on a cloud provider that…