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• MagiCompiler v1.2.0 (2026 Q3)

  This milestone tracks the progress for MagiCompiler v1.2.0. For this release, we are focusing on two main areas: Acceleration: Breaking framework limitations with native FSDP full-graph capture, maximizing VRAM utilization via refactored AutoRecompute, and exploring extreme performance with deterministic inference and computation-communication fusions (MegaKernel). Ecosystem: Upgrading our core compatibility to PyTorch 2.12, providing richer out-of-the-box training/inference examples, and launching our official technical blog series to share our design insights with the community. Feel free to pick up any unassigned issues if you'd like to contribute!

  Due by September 30, 2026

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