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Zagora, Distributed fine-tuning platform on mixed GPUs over internet

Show HN: Zagora, Distributed fine-tuning platform on mixed GPUs over internet

Zagora, Distributed fine-tuning platform on mixed GPUs over internet is active in the show hn launch space.

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I built Zagora, a distributed fine-tuning platform that turns fragmented or mixed GPUs into a unified training cluster over standard internet (1Gbps).The problem:Most distributed training assumes homogeneous GPUs and high-bandwidth interconnects (NVLink/InfiniBand). On heterogeneous fleets over standard internet, tensor/data parallel approaches become communication-bound and fragile.What Zagora does under the hood:- Uses pipeline-style parallelism instead of heavy tensor synchronization.- Passes only boundary activations between stages rather than full parameter sync.- Assigns layers proportionally to GPU capability to reduce straggler idle time.- Uses checkpoint-based recovery to tolerate w

Zagora, Distributed fine-tuning platform on mixed GPUs over internet is positioned in show hn launch, a segment that rewards a clear, focused offering.

The company is listed at the Show HN launch stage of development.

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Website: app.zagora.ai

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