IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as "eerie") is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

Project news

• 2025-04-02: AMD submitted an IREE-based SDXL implementation to the MLPerf benchmark suite
• 2024-05-23: IREE joins the LF AI & Data Foundation as a sandbox-stage project

Project status

Release status

Releases notes are published on GitHub releases.

Package	Release status
GitHub release (stable)
GitHub release (nightly)
iree-base-compiler
iree-base-runtime

For more details on the release process, see https://iree.dev/developers/general/release-management/.

Build status

Nightly build status

Operating system	Build status
Linux
macOS

For the full list of workflows see https://iree.dev/developers/general/github-actions/.

Communication channels

• GitHub issues: Feature requests, bugs, and other work tracking
• IREE Discord server: Daily development discussions with the core team and collaborators
• (New) iree-announce email list: Announcements
• (New) iree-technical-discussion email list: General and low-priority discussion
• (Legacy) iree-discuss email list: Announcements, general and low-priority discussion

Related project channels

• MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Architecture overview

See our website for more information.

Presentations and talks

Community meeting recordings: IREE YouTube channel

Date	Title	Recording	Slides
2025-06-10	Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM)	recording	slides
2025-05-17	Introduction to GPU architecture and IREE's GPU CodeGen Pipeline	recording	slides
2025-02-12	The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised)	recording	slides
2024-10-01	Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardware	recording
2021-06-09	IREE Runtime Design Tech Talk	recording	slides
2020-08-20	IREE CodeGen (MLIR Open Design Meeting)	recording	slides
2020-03-18	Interactive HAL IR Walkthrough

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.