Cocoon (Confidential Compute Open Network
Cocoon (cocoon.org, developed in connection with Telegram and the TON blockchain ecosystem) is a decentralized, privacy-first AI compute and inference network. By leveraging Hardware Trusted Execution Environments (TEE, such as Intel TDX) and Remote Attestation TLS (RA-TLS), Cocoon enables GPU providers to monetize compute by mining TON cryptocurrency, while allowing developers and Telegram mini-apps to run LLM inference with zero data leakage (prompts and model outputs remain cryptographically shielded from host server owners).
Running AI inference on untrusted decentralized GPU networks usually introduces severe privacy and integrity risks—host node operators can inspect user prompts, intercept proprietary model weights, or manipulate responses. Cocoon (Confidential Compute Open Network) resolves this trust issue by executing AI model workloads inside encrypted, hardware-isolated virtual machines verified through on-chain TON smart contracts.
Core Architecture & Technical Profile at a Glance
| Feature / Dimension | Cocoon Network Specification | Core Ecosystem & Technical Advantage |
| Ecosystem & Backing | Telegram Ecosystem & The Open Network (TON) | Direct distribution synergy with Telegram’s global user base and mini-apps. |
| Privacy Architecture | Hardware TEE (Intel TDX) + RA-TLS Encryption | Prompts, responses, and memory states are inaccessible to node and host operators. |
| Worker Inference Engine | Confidential VMs running LLM engines (e.g., vLLM) | Fast, production-grade serving of open-weights models inside secure enclaves. |
| Settlement & Routing | TON Blockchain Smart Contracts & Payment Channels | Low-latency, micro-settlement payouts in TON cryptocurrency for compute providers. |
| Verification & Trust | Remote Attestation & On-Chain Measurement Registry | Verifies that workers run untampered base images and genuine model weights. |
| Target Participants | GPU Providers / Miners, Telegram Mini-App Developers, Privacy Users | Turns consumer/datacenter GPUs into confidential AI mining nodes. |
Key Pillars and Technical Mechanics
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Confidential Worker Execution (TEE Enclaves): Compute providers run official reproducible worker images protected by Intel TDX. Even if a server host has root access to the physical machine, hardware encryption prevents memory reading or prompt eavesdropping.
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Remote Attestation & RA-TLS Handshakes: Before routing queries, client libraries and proxies verify the cryptographic hardware attestation of the worker against root hashes stored on the TON blockchain, ensuring requests are processed only on authorized, secure nodes.
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Decentralized AI Monetization via TON Mining: GPU owners contribute idle computing capacity to the network to serve inference tasks, receiving automated TON payouts through dedicated payment smart contracts.
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Telegram Mini-App and Bot Integration: Provides developers with low-cost, scalable AI infrastructure to power conversational bots, image generators, and agentic workflows within Telegram without building costly private server clusters.

