AI Potluck
Infrastructure / Compilers & Model Optimization

MIOpen

AMD

MIOpen is AMD's library of high-performance machine learning primitives for ROCm, covering convolution, RNN, pooling, batch normalization and related deep learning kernels - the same role cuDNN plays for NVIDIA. AMD develops it as part of the ROCm stack; the project is being folded into the consolidated ROCm/rocm-libraries monorepo, and this repository is kept as a retired, read-only mirror during that migration.

Verified 2026-09-02 via the GitHub API and the LICENSE body.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public
core-gated
ungated

MIT 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.

  • https://github.com/ROCm/MIOpen/blob/develop_deprecated/LICENSE.txt recorded 2026-09-02

    LICENSE body opens with an AMD copyright line, declares the MIT text for the whole repository, and separately dual-licenses two files (kernel_cache.hpp/.cpp) under MIT plus an Apache-2.0 grant from their original Vratis, Ltd. author - a widening, not a restriction, since both are OSI tiers.

  • https://api.github.com/repos/ROCm/MIOpen recorded 2026-09-02

    Repo metadata for miopen's canonical repository - private false, archived false, fork false.

  • https://github.com/ROCm/MIOpen/blob/develop_deprecated/README.md recorded 2026-09-02

    README carries a retirement notice pointing to ROCm/rocm-libraries, describes MIOpen as AMD's library for high-performance machine learning primitives, and names no paid tier, enterprise edition or license-gated build beside the published source.

Adoption

2 low confidence
2.0

1,193 GitHub stars, which lands in the 1K-10K stars band of the stars scale, level 2. MIOpen ships inside the ROCm distribution packages (apt, dnf, zypper) and as a source build, and AMD publishes no download count for either, so the stars scale applies with its cap of 3.

Capability

3 medium confidence
3.0

Banded on the category feature matrix as performance-critical kernel and operator library, the same shape as onednn and arm-compute-library. Placed two bands below the apache-tvm anchor, on a matrix that bands on how much of the model-to-hardware transformation pipeline a product performs, over how many inputs and targets.

  • https://github.com/ROCm/MIOpen/blob/develop_deprecated/README.md recorded 2026-09-02

    README carries a retirement notice pointing to ROCm/rocm-libraries, describes MIOpen as AMD's library for high-performance machine learning primitives, and names no paid tier, enterprise edition or license-gated build beside the published source.

Verified 2026-09-02