Darkbloom – Private inference on idle Macs
We present Darkbloom, a decentralized inference network. AI compute today flows through three layers of markup — GPU manufacturers to hyperscalers to API providers to end users. Meanwhile, over 100 million Apple Silicon machines sit idle for most of each day. We built a network that connects them directly to demand. Operators cannot observe inference data. The API is OpenAI-compatible . Our measurements show up to 70% lower costs compared to centralized alternatives. Operators retain 95% of revenue .
Idle hardware has near-zero marginal cost. That saving passes through to price. OpenAI-compatible API for chat, image generation, and speech-to-text. Every request is end-to-end encrypted.
Your Mac already has the hardware. Operators keep 100% of inference revenue. Electricity cost on Apple Silicon runs $0.01–0.03 per hour depending on workload. The rest is profit.
We eliminate every software path through which an operator could observe inference data. Four independent layers, each independently verifiable.
Requests are encrypted on the user's device before transmission. The coordinator routes ciphertext. Only the target node's hardware-bound key can decrypt.
Each node holds a key generated inside Apple's tamper-resistant secure hardware. The attestation chain traces back to Apple's root certificate authority.