ROCm 6.2.4 Release
The release notes provide a summary of notable changes since the previous ROCm release.
If you’re using Radeon PRO or Radeon GPUs in a workstation setting with a display connected, continue to use ROCm 6.2.3. See the [Use ROCm on Radeon GPUs](https://rocm.docs.amd.com/projects/radeon/en/latest/index.html) documentation to verify compatibility and system requirements.
Release highlights
The following are notable new features and improvements in ROCm 6.2.4. For changes to individual components, see
Detailed component changes.ROCm documentation updates
ROCm documentation continues to be updated to provide clearer and more comprehensive guidance for
a wider variety of user needs and use cases.
Added a new GPU cluster networking guide. See
Cluster network performance validation for AMD Instinct accelerators.
This documentation provides guidelines on validating network configurations
in single-node and multi-node environments to attain optimal speed and bandwidth
in AMD Instinct-powered clusters.Updated the HIP runtime documentation.
Added a new section on how to use HIP graphs.
Added a new section about the Stream ordered memory allocator (SOMA).
Updated the Porting CUDA driver API section.
Updated the Post-installation instructionswith guidance on using the
update-alternatives
utility and environment modules to help you manage multiple ROCm
versions and streamline PATH configuration.Updated the LLM inference performance validation on AMD Instinct
MI300X
documentation with more detailed guidance, new models, and thefloat8
data type.Operating system and hardware support changes
ROCm 6.2.4 adds support for the AMD Radeon PRO V710 GPU for compute workloads. See
Supported GPUsfor more information.This release maintains the same operating system support as 6.2.2.
ROCm components
The following table lists the versions of ROCm components for ROCm 6.2.4, including any version changes from 6.2.2 to 6.2.4.
Click the component's updated version to go to a detailed list of its changes. Click to go to the component's source code on GitHub.
Detailed component changes
The following sections describe key changes to ROCm components.
AMD SMI (24.6.3)
Resolved issues
- Fixed support for the API calls
amdsmi_get_gpu_process_isolation
andamdsmi_clean_gpu_local_data
, along with theamd-smi set --process-isolation <0 or 1>
command. See issue
#3500 on GitHub.rocFFT (1.0.30)
Optimized
- Implemented 1D kernels for factorizable sizes greater than 1024 and less than 2048.
Resolved issues
- Fixed plan creation failure on some even-length real-complex transforms that use Bluestein's algorithm.
rocSOLVER (3.26.2)
Resolved issues
- Fixed synchronization issue in STEIN.
ROCm known issues
ROCm known issues are tracked on GitHub.
Known issues related to individual components are listed in the Detailed component changessection.ROCm upcoming changes
The following changes to the ROCm software stack are anticipated for future releases.
rocm-llvm-alt
The
rocm-llvm-alt
package will be removed in an upcoming release. Users relying on the functionality provided by the closed-source compiler should transition to the open-source compiler. Once therocm-llvm-alt
package is removed, any compilation requesting functionality provided by the closed-source compiler will result in a Clang warning: "[AMD] proprietary optimization compiler has been removed".rccl-rdma-sharp-plugins
The RCCL plugin package,
rccl-rdma-sharp-plugins
, will be removed in an upcoming ROCm release.
A new version of the ROCm Radeon compute platform has been released with new features and enhancements, such as a GPU cluster networking guide, revised HIP runtime documentation, additional sections on HIP graphs, SOMA, Porting CUDA driver API, and post-installation instructions. The documentation also features updated validation of LLM inference performance on AMD Instinct MI300X, along with new models and the float8 data type. The purpose of these updates is to deliver more precise guidance tailored to diverse user needs and scenarios.