Burn's great, and we cite it in the paper's related work. Different layer, though: Burn is the high-level DL framework (tensor ops, autodiff, backends), whereas cuTile Rust is the kernel-authoring layer underneath. The closer neighbor is actually CubeCL, Tracel's compute layer that Burn sits on, and there's an open issue to integrate cuTile Rust into CubeCL, so we're already looking at how these fit together. See https://github.com/tracel-ai/cubecl/issues/1282

Yeah, I linked to Burn since it was the parent framework, but yes CubeCL. Still blows my mind that they basically implemented a subset of Rust inside of a Rust macro so you can write your compute kernels in Rust.

Nathaniel Simard: "Rust for AI & Accelerated Computing" | RustConf 2025 https://www.youtube.com/watch?v=RaSxyRQ7egU