18412698. ARTIFICIAL INTELLIGENCE MODEL INFERENCE AND TUNING PEER-TO-PEER NETWORK SYSTEM (NVIDIA CORPORATION)
ARTIFICIAL INTELLIGENCE MODEL INFERENCE AND TUNING PEER-TO-PEER NETWORK SYSTEM
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ARTIFICIAL INTELLIGENCE MODEL INFERENCE AND TUNING PEER-TO-PEER NETWORK SYSTEM
This abstract first appeared for US patent application 18412698 titled 'ARTIFICIAL INTELLIGENCE MODEL INFERENCE AND TUNING PEER-TO-PEER NETWORK SYSTEM
Original Abstract Submitted
A peer-to-peer signal node may include a communication interface in communication with a plurality of client machines via a network. The communication interface may receive a client request message identifying a designated computing model and input data on which to execute the designated computing model. The peer-to-peer signal node may also include a computation node registry maintaining access information for a plurality of distributed computation nodes accessible via the network. The peer-to-peer signal node may also include a work scheduler, which may select a distributed computation node and transmit a computation request message to the selected node identifying the designated computing model and the input data and establishing a communication session between the distributed computation node and the client machine through which the distributed computation node transmits a result obtained based on executing the computing model using the input data.