Confidential Compute Open Network (COCOON) – Decentralized AI Inference on TON

COCOON enables running AI models in trusted execution environments, while earning TON cryptocurrency for compute services.

• GPU owners earn TON by serving models
• App developers plug into low-cost, secure and verifiable AI compute
• Users enjoy AI seamlessly, with full privacy and confidentiality

This repository contains all the necessary tools and documentation to both serve and access models via COCOON.

Quick Links

For Workers: offering GPUs for computation

• Download: Latest worker release – Ready-to-run TEE image and setup scripts
• Setup Guide: Instructions are included in the release archive (preview here)

For Developers: requiring secure AI compute

• Build Instructions: See below for reproducing worker distribution from source

Reproducible Build

Anyone can verify the worker distribution by rebuilding from source. Note that this step is not needed to run your own workers.

# 1. Build the VM image (reproducible)
./scripts/build-image prod

# 2. Generate distribution
./scripts/prepare-worker-dist ../cocoon-worker-dist

# 3. Verify the TEE image matches the published release
cd ../cocoon-worker-dist
sha256sum images/prod/{OVMF.fd,image.vmlinuz,image.initrd,image.cmdline}
# Compare with the published checksums

The same goes for model images:

# 1. This will generate a model tar file with the full model name, which includes hash and commit.
./scripts/build-model Qwen/Qwen3-0.6B
# Compare with the published model name

License

See LICENSE file.