
DolphinPodUninhibited AI
DolphinPod
The Uninhibited AI Inference Network.
DolphinPod is a decentralized network of nodes that run inference using Dolphin AI models
How it works
- 1.DolphinPod is a decentralized network of nodes that run inference using Dolphin AI models
- 2.The main problem for a Decentralized Inference Network is being able to prevent nodes from modifying the node software to cheat the system
- 3.DolphinPod solves this problem by using Trusted Execution Environments (TEEs) to run the node software in a secure enclave
- 4.This allows the network to be truly decentralized and secure, while still being able to run inference on large language models
- 5.The network is powered by the DPOD token, which is used to incentivize node operators and pay for inference
- 6.Node operators are required to stake DPOD tokens to join the network and are rewarded for running inference
- 7.Users can pay for inference using DPOD tokens, which are then distributed to node operators
- 8.The network uses a reputation system to ensure that node operators are providing high-quality inference
- 9.DolphinPod is designed to be scalable and can support a wide range of AI models and use cases
Tokenomics
Tokenomics summary here
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