HIP Memory Manager (hipMM) documentation#
2026-07-29
1 min read time
The HIP Memory Manager (hipMM) provides advanced GPU memory management utilities used across the AMD Data Science libraries. Based on the RAPIDS® Memory Manager (RMM 25.10), hipMM supports efficient allocation, pooling, and data movement, ensuring stable performance in complex, multi-library GPU workflows.
hipMM 4.0.0 improves memory usage efficiency for workloads that leverage hipDF, hipGRAPH, hipRAFT, and hipVS.
The hipMM code is open and hosted at AMD-Ecosystem/hipMM.
The hipMM documentation is structured as follows:
To contribute to the documentation refer to Contributing to AMD Data Science.
You can find licensing information on the Licenses page.