Artificial intelligence model inference and tuning peer-to-peer network system

A method comprising:

• receiving a first request message from a client machine of one or more client machines in communication with a peer-to-peer signal node, the first request message identifying a computing model and input data on which to execute the computing model;
• obtaining a node registry that associates distributed computation nodes with one or more computing models available for execution at the distributed computation nodes, a first distributed computation node of the distribute computation nodes acting as a first artificial intelligence service located in a first cloud computing network and a second distributed computation node of the distributed computation nodes acting as a second artificial intelligence service located in a second cloud computing network;
• selecting, using the node registry, the first distributed computation node based at least on the computing model being executable at the first distributed computation node;
• sending one or more second request messages to the first distributed computation node, the one or more second request messages identifying the designated computing model and the input data;
• and
• based at least on the sending the one or more second request messages, establishing a communication session between the first distributed computation node and the client machine through which the first distributed computation node is able to send a result obtained based at least on executing the computing model using the input data.

One or more processors comprising:

• processing circuitry to:
• receive a first request message from a client machine of one or more client machines in communication with a peer-to-peer signal node, the first request message identifying a computing model and input data on which to execute the computing model;
• obtain a node registry that associates distributed computation nodes with one or more computing models available for execution at the distributed computation nodes, a first distributed computation node of the distributed computation nodes located in a first cloud computing network associated with a first cloud computing provider and a second distributed computation node of the distributed computation nodes located in a second cloud computing network associated with a second cloud computing provider;
• select, using the node registry, the first distributed computation node based at least on the computing model being identified as being executable at the first distributed computation node;
• send one or more second request messages to the first distributed computation node, the one or more second request messages identifying the designated computing model and the input data;
• and
• based at least on the one or more second request messages being sent, establish a communication session between the first distributed computation node and the client machine through which the first distributed computation node is able to send a result obtained based at least on executing the computing model using the input data.