π§ One LLM, split across a Mac (Apple MPS) + a Windows PC (NVIDIA CUDA) β heterogeneous pipeline inference over a framework-neutral wire, bit-for-bit identical to single-machine. No torch.distributed, no datacenter.
What is the TaewoooPark/DRIFT GitHub project? Description: "π§ One LLM, split across a Mac (Apple MPS) + a Windows PC (NVIDIA CUDA) β heterogeneous pipeline inference over a framework-neutral wire, bit-for-bit identical to single-machine. No torch.distributed, no datacenter.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard β paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download main.zipReport bugs or request features on the DRIFT issue tracker:
Open GitHub Issues