Release Notes#
v1.3.1#
Release Highlights#
New Metric Fields
GPU_GFX_BUSY_INSTANTANEOUS, GPU_VC_BUSY_INSTANTANEOUS, GPU_JPEG_BUSY_INSTANTANEOUS are added to represent partition activities at more granuler level.
GPU_GFX_ACTIVITY is only applicable for unpartitioned systems, user must rely on the new BUSY_INSTANTANEOUS fields on partitioned systems.
Health Service Config
Health services can be disabled through configmap
Profiler Metrics Default Config Change
The previous release of exporter i.e. v1.3.0’s ConfigMap present under example directory had Profiler Metrics enabled by default. Now, this is set to be disabled by default from v1.3.1 onwards, because profiling is generally needed only by application developers. If needed, please enable it through the ConfigMap and make sure that there is no other Exporter instance or another tool running ROCm profiler at the same time.
Notice: Exporter Handling of Unsupported Platform Fields (Upcoming Major Release)
Current Behavior: The exporter sets unsupported platform-specific field metrics to 0.
Upcoming Change: In the next major release, the exporter will omit unsupported fields (e.g., those marked as N/A in amd-smi) instead of exporting them as 0.
Logging: Detailed logs will indicate which fields are unsupported, allowing users to verify platform compatibility.
v1.3.0#
Release Highlights#
K8s Extra Pod Labels
Adds more granular Pod level details as labels meta data through configmap
ExtraPodLabels
Support for Singularity Installation
Exporter can now be deployed on HPC systems through singularity.
Performance Metrics
Adds more profiler related metrics on supported platforms, with toggle functionality through configmap
ProfilerMetrics
Custom Prefix for Exporter
Adds more flexibility to add custome prefix to better identify AMD GPU on multi cluster deployment, through configmap
CommonConfig
Platform Support#
ROCm 6.4.x MI3xx
v1.2.1#
Release Highlights#
Prometheus Service Monitor
Easy integration with Prometheus Operator
K8s Toleration and Selector
Added capability to add tolerations and nodeSelector during helm install
Platform Support#
ROCm 6.3.x
v1.2.0#
Release Highlights#
GPU Health Monitoring
Real-time health checks via metrics exporter
With Kubernetes Device Plugin for automatic removal of unhealthy GPUs from compute node schedulable resources
Customizable health thresholds via K8s ConfigMaps
Platform Support#
ROCm 6.3.x
v1.1.0#
Platform Support#
ROCm 6.3.x
v1.0.0#
Release Highlights#
GPU Metrics Exporter for Prometheus
Real-time metrics exporter for GPU MI platforms.
Platform Support#
ROCm 6.2.x