Fabric by Carmel Labs
Fabric by Carmel Labs is a distributed compute network that connects idle consumer devices to power AI workloads, offering faster and cheaper computing solutions compared to traditional cloud services.
https://carmel.so/fabric?ref=producthunt
Product Information
Updated:Feb 28, 2026
What is Fabric by Carmel Labs
Fabric by Carmel Labs is an innovative distributed computing platform that transforms everyday devices into shared infrastructure for AI and computational workloads. The platform creates the world's first distributed compute network powered by idle consumer devices, enabling users to either contribute their computing power for passive income or run various types of workloads including AI inference, ML training, data processing, and more at significantly lower costs than traditional cloud services.
Key Features of Fabric by Carmel Labs
Fabric by Carmel Labs is a distributed compute network that transforms idle consumer devices into shared infrastructure for AI workloads. It offers a platform where users can either contribute their compute power to earn passive income or run AI inference jobs at significantly lower costs compared to traditional cloud services. The platform features enterprise-level security, global network coverage, and pay-per-use pricing model.
Distributed Computing: Utilizes a network of idle consumer devices worldwide to process workloads in parallel, delivering up to 10x faster processing times
Enterprise Security: Provides end-to-end encryption and isolated sandboxed environments to ensure secure workload execution
Flexible Workload Support: Supports various containerized workloads including ML training, data processing, web scraping, and AI inference
Pay-Per-Use Model: Cost-effective pricing structure where users only pay for actual compute resources used, eliminating costs for idle resources
Use Cases of Fabric by Carmel Labs
AI/ML Development: Run machine learning training, inference, and data processing tasks at scale with reduced costs
CI/CD Operations: Execute iOS builds, macOS builds, and GitHub Actions runners in a distributed environment
Data Analysis: Process large-scale data operations including anomaly detection, clustering, and sports analytics
Media Processing: Handle image preprocessing, labeling, and audio training tasks across distributed nodes
Pros
Cost-effective compared to traditional cloud services
Global availability with 24/7 access
Fast processing through distributed computing
Strong security measures with end-to-end encryption
Cons
Depends on availability of distributed devices
May require containerization of workloads
Performance might vary based on network conditions
How to Use Fabric by Carmel Labs
Create an account: Sign up for Fabric through their dashboard to get started with the platform
Containerize your workload: Package your AI/ML workload or other compute task into a container that can be run on the Fabric network
Deploy workload: Use Fabric's SDK or dashboard to push your containerized workload to their platform
Let Fabric distribute the work: The orchestrator automatically splits and distributes your workload across their network of idle compute devices
Monitor progress: Track the progress of your distributed workload through the dashboard
Receive results: Get the aggregated results of your workload with full provenance and verification included
Pay for usage: Only pay for the actual compute resources used, with no charges for idle time
Fabric by Carmel Labs FAQs
Fabric is a distributed compute network that connects idle compute power with AI workloads, allowing users to either earn passive income by sharing their computing resources or run inference jobs at lower costs compared to traditional cloud services.
Fabric by Carmel Labs Video
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