Mac owners install Common Compute
Choose when jobs run and how much compute to share.
Run embeddings, transcription, OCR, and batch inference jobs for less — or earn from the Apple Silicon you already own.
Common Compute is a distributed compute network powered by idle Macs, designed for affordable batch AI workloads like embeddings, transcription, OCR, and dataset preprocessing.
Choose when jobs run and how much compute to share.
Upload datasets or call the API.
Tasks run securely across the network.
Providers get paid when jobs complete successfully.
Common Compute is optimized for embeddings generation, transcription pipelines, OCR processing, dataset preprocessing, and overnight batch inference.
Use Common Compute for batch jobs, not live interactive inference.
The platform is built for practical execution, not grand claims about replacing every cloud system.
Lower cost, easy setup, safe execution, and predictable outcomes.
Choose exactly when Common Compute runs: only when idle, only while plugged in, only overnight, capped CPU usage, capped memory usage. Track earnings directly in the app.
Common Compute is ideal for RAG indexing, vector embeddings, Whisper transcription, OCR pipelines, and dataset preparation. Submit workloads via dashboard or API.
Batch document work without paying live-serving prices.
Run large embedding pipelines on practical compute.
Process archives and backlogs with verified completion.
Turn scanned pages into usable text and structured output.
Handle preprocessing jobs that do not need premium cloud capacity.
Every workload includes task verification.
Retry routing keeps work moving if a task fails.
Completion is tracked rather than assumed.
Reputation improves routing and reliability decisions.
Providers can see usage and earnings clearly.
No. You choose when jobs run and how much compute they can use.
Yes. Pause anytime from the menu bar.
Only approved workloads such as embeddings, transcription, OCR, and dataset preprocessing.
No.
Providers receive earnings when verified jobs complete successfully.
No. Common Compute runs AI workloads only.
Yes. Execution happens within controlled runtime limits.
As soon as your device begins receiving tasks.
Whether you want to lower AI processing costs or earn from idle hardware, Common Compute gives both sides a fairer option.