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Burn 0.22 reports up to 15× faster rebuilds and adds LoRA and QLoRA support

tracel.ai 14 min read Editor score 8/10

Burn 0.22 removes backend type parameters from application code and reports rebuilds up to 15× faster in its tests; it also adds LoRA and QLoRA adaptation, ONNX export and remote compute support. The release combines a concrete developer productivity result with new model workflows.

What
- Burn 0.22 removes backend type parameters from its user-facing API, selecting execution through the device.
How
- Tensor operations pass through Bridge and Dispatch, which hide backend representations and route work to a backend.
Why it matters
- Burn reports rebuilds up to 15× faster, reducing compilation delays when engineers change application code.
Tensor Bridge Dispatch Backend
Burn routes tensor operations through a bridge and dispatch layer to a backend. Sketched from the article's own text.

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