Real-time GPU monitoring data collected via `rocm-smi` during Kimi-K2.5 benchmark runs on 8x AMD Instinct MI325X GPUs. Data was sampled at 1-second intervals across 3 independent runs.
Power Efficiency Estimate
GPUs 0-3 (active for TP=4 inference) draw significantly more power than GPUs 4-7 (idle). The active GPUs average 640-680W each, well within the MI325X TDP of 750W.
Junction and HBM3e memory temperatures track closely. Active GPUs (0-3) reach 60-80°C junction, while idle GPUs stay below 40°C.
Total system power fluctuates as benchmark phases transition between concurrency levels. Peaks correspond to high-concurrency stress phases.
Temperature ramps correlate with sustained compute phases. The MI325X's cooling solution keeps junction temperatures well below throttling thresholds (100°C+).
With Kimi-K2.5 achieving ~952 tok/s peak throughput using 4 active GPUs at ~660W each, the effective power efficiency is approximately 0.36 tok/s per watt for the active GPUs. The remaining 4 idle GPUs draw baseline power but provide no inference throughput, which is a consideration for TP=4 models on 8-GPU systems.
All monitoring data was collected using:
at 1-second intervals as a background process during benchmark execution. This introduces negligible overhead (<0.1% CPU).
0 Comments
Be the first to comment and share your perspective with the community.