What is Darkbloom

A new topology for private inference.

Darkbloom routes inference requests to verified Apple Silicon hardware. Requests are encrypted hop by hop, and providers process prompts to run inference. Mac owners contribute compute they already own.

Run a provider on hardware you already have. Darkbloom matches your Mac to demand it can actually handle.

Join the grid ↗

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; see the current pricing page for rates.

Decentralized Inference Pricing

Pay for inference by token usage. Input, output and cache-read tokens have separate model-specific rates, quoted in USD per million tokens.

Why privacy matters*

Sensitive information shouldn't run on untrusted hardware

Requests are encrypted hop by hop. The coordinator decrypts requests in confidential-VM memory for routing and billing, does not log or retain prompt content, and re-encrypts each request to the provider’s attested key. The provider is the plaintext endpoint; this is not end-to-end encryption between consumer and provider.

How privacy is ensured*

Verified hardware, explicit trust boundaries

Darkbloom combines encrypted transport with hardware and code verification. These checks help establish which provider receives a request. The coordinator decrypts in confidential-VM memory, and the provider processes plaintext to perform inference.

01 / Hop-by-hop Encryptionrequests are re-encrypted between hops
02 / OS IntegritySIP enforced · signed system volume · binary self-hash
03 / Confidential Coordinatordecrypts in confidential-VM memory
04 / Attested Provider Keyprovider decrypts to run inference
Your inference dataprompts · responses · model state

Trust includes the coordinator and the provider plaintext endpoint

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.

GPU CoresApple Silicon—
CPU CoresP + E cores—
Unified Ram—

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.

Qwen3.6 35B A3B Best current estimateFits in your 128 GB (22 GB of model weights)$204.89/mo
Gamma 4 26B A4BFits in your 128 GB (18 GB of model weights)$182.40/mo
GPT-OSS 20BFits in your 128 GB (14 GB of model weights)$144.15/mo