The post Cocoon Goes Live: Telegram’s Decentralized Confidential Computing Network Rewards GPU Providers with TON Tokens appeared on BitcoinEthereumNews.com. COINOTAG News reports that on December 1, Telegram founder Pavel Durov announced on his personal channel that the Cocoon network, a decentralized confidential computing platform, has gone live. The launch marks a milestone for privacy-preserving infrastructure. According to the report, the first batch of AI requests was processed on Cocoon, with the team asserting 100% privacy protection for these computations. The design aims to shield data while enabling secure on-chain and off-chain interactions. Financial incentives are already in play as GPU providers began earning TON tokens for contributing compute power. The protocol plans to onboard additional GPU resources in the coming weeks to expand throughput and bolster developer engagement for privacy-first AI workloads. Looking ahead, Cocoon intends to scale resource capacity and attract broader developer demand, positioning itself as a privacy-centric alternative for AI inference within decentralized ecosystems. Investors will monitor uptime metrics and token economics as the network ramps. Source: https://en.coinotag.com/breakingnews/cocoon-goes-live-telegrams-decentralized-confidential-computing-network-rewards-gpu-providers-with-ton-tokensThe post Cocoon Goes Live: Telegram’s Decentralized Confidential Computing Network Rewards GPU Providers with TON Tokens appeared on BitcoinEthereumNews.com. COINOTAG News reports that on December 1, Telegram founder Pavel Durov announced on his personal channel that the Cocoon network, a decentralized confidential computing platform, has gone live. The launch marks a milestone for privacy-preserving infrastructure. According to the report, the first batch of AI requests was processed on Cocoon, with the team asserting 100% privacy protection for these computations. The design aims to shield data while enabling secure on-chain and off-chain interactions. Financial incentives are already in play as GPU providers began earning TON tokens for contributing compute power. The protocol plans to onboard additional GPU resources in the coming weeks to expand throughput and bolster developer engagement for privacy-first AI workloads. Looking ahead, Cocoon intends to scale resource capacity and attract broader developer demand, positioning itself as a privacy-centric alternative for AI inference within decentralized ecosystems. Investors will monitor uptime metrics and token economics as the network ramps. Source: https://en.coinotag.com/breakingnews/cocoon-goes-live-telegrams-decentralized-confidential-computing-network-rewards-gpu-providers-with-ton-tokens

Cocoon Goes Live: Telegram’s Decentralized Confidential Computing Network Rewards GPU Providers with TON Tokens

2025/12/01 10:04
1 min di lettura
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COINOTAG News reports that on December 1, Telegram founder Pavel Durov announced on his personal channel that the Cocoon network, a decentralized confidential computing platform, has gone live. The launch marks a milestone for privacy-preserving infrastructure.

According to the report, the first batch of AI requests was processed on Cocoon, with the team asserting 100% privacy protection for these computations. The design aims to shield data while enabling secure on-chain and off-chain interactions.

Financial incentives are already in play as GPU providers began earning TON tokens for contributing compute power. The protocol plans to onboard additional GPU resources in the coming weeks to expand throughput and bolster developer engagement for privacy-first AI workloads.

Looking ahead, Cocoon intends to scale resource capacity and attract broader developer demand, positioning itself as a privacy-centric alternative for AI inference within decentralized ecosystems. Investors will monitor uptime metrics and token economics as the network ramps.

Source: https://en.coinotag.com/breakingnews/cocoon-goes-live-telegrams-decentralized-confidential-computing-network-rewards-gpu-providers-with-ton-tokens

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