Back to Gap Map Infrastructure / Compilers & Model Optimization

TensorIR

NVIDIA
open source / Overall score: 2.5

TensorIR is NVIDIA's lightweight MLIR compiler frontend for expressing tensor computations, lowering to CUDA Tile IR for code generation on NVIDIA GPUs. NVIDIA is releasing it early for community evaluation and feedback ahead of a production-performance commitment.

Openness

5 high confidence
5.0
license
Apache-2.0(OSI)
source
public
core features withheld
no

Apache-2.0 license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

Adoption

1 low confidence
1.0

No package registry publishes TensorIR, and the repository is built from source, so GitHub stars are the only adoption signal available. A star is not a use.

Capability

4 medium confidence
4.0

TensorIR is a compiler frontend that lowers tensor computations through CUDA Tile IR to NVIDIA GPU code. That toolchain is narrowed to one vendor's targets, one step below Apache TVM's multi-vendor reach.

  • https://github.com/NVIDIA/tensor-ir/blob/main/README.md recorded 2026-10-07

    README says "TensorIR is being released early so the community can evaluate the project" and that "TensorIR Compiler depends on" CUDA Tile IR "for GPU code generation"; it names no paid tier, enterprise edition or license-gated build beside the published source.

Verified 2026-09-27