What is Darkbloom
A new topology for private inference.
Darkbloom routes encrypted requests to verified Apple Silicon hardware, at roughly half the cost of typical API providers. Prompts stay hidden from operators. Mac owners earn from compute they already own.
Run a provider on hardware you already have. Darkbloom matches your Mac to demand it can actually handle.
Why does it cost less
Darkbloom turns idle capacity into a private inference market
Typical inference passes through clouds, resellers, and API layers, each adding margin. Darkbloom routes requests to idle Apple Silicon instead - hardware its owners already paid for, where the marginal cost is mostly electricity. Pay per token, with no subscription or minimum.
Decentralized Inference Pricing
| Model & Specification | Input (1M Tok) | Output (1M Tok) | Typical API | vs typical API |
|---|---|---|---|---|
| GPT-OSS 20BMoE · 128K context | $0.0145 | $0.07 | 50% lower | |
| Gemma 4 26B128K context | $0.05 | $0.25 | 50% lower | |
| Qwen 3.6 35B A3BQwen3.5 MoE VLM with inline MTP · 256K context | $0.08 | $0.75 | 50% lower | |
| Gemma 4 26BMoE · 128K context | $0.05 | $0.75 | - | - |
| Gemma 4 26B 8-bit rollback128K context | $0.05 | $0.25 | - | - |
Why privacy matters*
Sensitive information shouldn't run on untrusted hardware
Every prompt carries information you'd never publish: personal reflections, customer conversations, source code, strategy. Darkbloom's privacy is more than a policy. The coordinator can route requests, the providers can serve them, but neither can get a usable view of the prompt.
- Encrypted
- 50% lower cost
- Private
How privacy is ensured*
Operator blind by design
Darkbloom removes software paths an operator could use to observe inference data. Requests are encrypted, the OS is sealed, memory is isolated, and the process itself refuses inspection.
operator is here, every path inward is eliminated
What powers the grid
Decentralized inference on Apple Silicon mac hardware
The grid runs on fleet of consumer Macs, M1 through M5. High-memory machines powering a range of open-source models and the router assigns each request to the most capable available machine automatically.
How much can providers earn
Earn from compute
you already own
Darkbloom pays you a base reward just for staying online, plus usage earnings on top every time your Mac serves a real inference request. Earnings scale based on your chip and memory - the more capable your machine, the more it can run.
Estimated monthly earning
$204.89/mo
$2,458.64/yr at 60% duty cycle
- Mac model
- MacBook Pro
- Chip family
- M4 Max (16-core)
- Unified memory
- 128 GB
This estimate assumes a 60% duty cycle - the share of time your Mac is actively producing output tokens. Actual earnings may vary.
Models your Mac can run
Models are ranked by estimated monthly earning at the selected duty cycle.