Definition
Self-Custody (Compute) is the application of the Bitcoin self-custody principle to computing infrastructure: running workloads — AI inference, data processing, application hosting, Bitcoin nodes — on hardware you own, in a location you control, with no cloud provider intermediating access to your own computation. "Not your keys, not your coins" becomes "not your hardware, not your compute."
The custody analogy
Bitcoin self-custody means holding your own private keys rather than trusting a custodian to hold them on your behalf. The custodian can freeze withdrawals, go bankrupt, be hacked, or comply with a government order to restrict your account. Self-custody compute applies the same logic one layer up: a cloud provider can suspend your account, change pricing, apply usage policies, suffer a regional outage, or receive a legal order to freeze your instances. Owning the hardware closes those attack vectors the same way a hardware wallet closes exchange risk. The philosophical overlap is not coincidental — both disciplines grew from the same recognition that trusting intermediaries is a recoverable mistake.
What it looks like in practice
Self-custody compute ranges from a home server running a Bitcoin node and a local LLM to a multi-rack Hashcenter running production AI and ASIC mining under one roof. The distributed compute model extends this to networks of individually owned nodes. D-Central's tools — DCENT_OS (closed beta, GPL-3.0) and DCENT_Toolbox — are designed to make self-custody compute manageable at the SMB and prosumer level.
Related terms: Compute Sovereignty, Sovereign AI, Digital Sovereignty, On-Premise AI
In Simple Terms
Self-Custody (Compute) is the application of the Bitcoin self-custody principle to computing infrastructure: running workloads — AI inference, data processing, application hosting, Bitcoin nodes —…