NVIDIA/cuda-tile

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1015 stars · 88 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for optimizing CUDA kernels with tile-based computation patterns targeting NVIDIA tensor cores. It includes an MLIR dialect, Python bindings, bytecode serialization, and a conformance test suite.

Use cases

• build and optimize CUDA kernels for tensor cores
• express tiled computations on NVIDIA GPUs
• programmatically construct and transform GPU IR in Python
• manage memory hierarchy in CUDA kernel development
• serialize tile IR to a binary bytecode format

When to choose

• you develop high-performance CUDA kernels using tiling patterns
• you need an MLIR-based IR targeting NVIDIA tensor cores
• you want Python APIs for IR construction and transformation

When to avoid

• you need a general-purpose CUDA compiler rather than a tile-focused IR
• you target non-NVIDIA GPUs
• you want a ready-to-use kernel library rather than compiler infrastructure

Facets

library · maturity active

compiler gpu-computing machine-learning compilers gpu-computing developer-tools machine-learning cpp python mlir cuda tensor-cores kernel-optimization tiling ir nvidia linux gpu

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markdown · JSON · MCP: product_card(name="NVIDIA/cuda-tile")