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Awesome GitHub RepositoriesCollaborative GPU Swarms
Decentralized networks of GPUs that collectively host model weights and process inference requests.
Distinct from Distributed GPU Computing: Focuses on the peer-to-peer collective hosting and execution model rather than general GPU parallelism strategies.
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Awesome Collaborative GPU Swarms GitHub Repositories
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- bigscience-workshop/petals
bigscience-workshop/petals
10,208Ver en GitHubPetals is a decentralized framework and inference engine for running large language models across a peer-to-peer network. It enables the execution of models that exceed the memory of any single machine by splitting computations and model layers across a collaborative swarm of GPUs. The system functions as a collaborative compute network where participants share local GPU resources and host model weights. It supports distributed prompt-tuning to adapt massive models to specific tasks and allows for the establishment of private compute swarms to process sensitive data within restricted, trusted
Establishes a decentralized network of connected devices that collectively host model weights and execute inference.
Python
