Verified distributed AI infrastructure

Affordable AI compute powered by idle Macs.

Run embeddings, transcription, OCR, and batch inference jobs for less — or earn from the Apple Silicon you already own.

Signed Mac appVerified executionTransparent resource controlsProvider payouts

Common Commute is a distributed compute network powered by idle Macs, designed for affordable batch AI workloads like embeddings, transcription, OCR, and dataset preprocessing.

How it works

A compute marketplace built for batch AI workloads.

1

Mac owners install Common Commute

Choose when jobs run and how much compute to share.

2

Developers submit workloads

Upload datasets or call the API.

3

Jobs are distributed and verified

Tasks run securely across the network.

4

Results return automatically

Providers get paid when jobs complete successfully.

Value prop

Cheaper than hyperscalers for the workloads that do not need them.

Common Commute is optimized for embeddings generation, transcription pipelines, OCR processing, dataset preprocessing, and overnight batch inference.

Not real-time GPU serving.

Use Common Commute for batch jobs, not live interactive inference.

Not training clusters.

The platform is built for practical execution, not grand claims about replacing every cloud system.

Just efficient batch compute.

Lower cost, easy setup, safe execution, and predictable outcomes.

For Mac owners

Put your Mac's idle time to work.

Choose exactly when Common Commute runs: only when idle, only while plugged in, only overnight, capped CPU usage, capped memory usage. Track earnings directly in the app.

Only when idleOnly while plugged inOnly overnightCapped CPU usageCapped memory usage
For developers

Run batch inference without premium cloud pricing.

Common Commute is ideal for RAG indexing, vector embeddings, Whisper transcription, OCR pipelines, and dataset preparation. Submit workloads via dashboard or API.

RAG indexing

Batch document work without paying live-serving prices.

Vector embeddings

Run large embedding pipelines on practical compute.

Whisper transcription

Process archives and backlogs with verified completion.

OCR pipelines

Turn scanned pages into usable text and structured output.

Dataset preparation

Handle preprocessing jobs that do not need premium cloud capacity.

Trust

Built for predictable, verifiable execution.

Task verification

Every workload includes task verification.

Retry scheduling

Retry routing keeps work moving if a task fails.

Completion guarantees

Completion is tracked rather than assumed.

Provider reputation scoring

Reputation improves routing and reliability decisions.

Transparent usage tracking

Providers can see usage and earnings clearly.

FAQ

Questions the platform should answer directly.

Does Common Commute slow down my Mac?

No. You choose when jobs run and how much compute they can use.

Can I pause compute sharing?

Yes. Pause anytime from the menu bar.

What kinds of jobs run on my machine?

Only approved workloads such as embeddings, transcription, OCR, and dataset preprocessing.

Can jobs access my personal files?

No.

How do I get paid?

Providers receive earnings when verified jobs complete successfully.

Is this crypto mining?

No. Common Commute runs AI workloads only.

Is my Mac secure?

Yes. Execution happens within controlled runtime limits.

How long before I start earning?

As soon as your device begins receiving tasks.

Common Commute

Use spare compute better.

Whether you want to lower AI processing costs or earn from idle hardware, Common Commute gives both sides a fairer option.