What's the best way to monitor NVIDIA GPU utilization on Linux (Ubuntu) during model training?
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Which tool is recommended for monitoring NVIDIA GPU utilization on a Linux (Ubuntu) Amazon EC2 instance? I'm currently training custom TensorFlow ML models and using the NVIDIA System Management Interface (nvidia-smi) to track memory usage, GPU utilization, and the temperature of my NVIDIA GPU devices.
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You can also use the Amazon SageMaker Debugger Profiling Report to capture system metrics.
The report provides information on the following:
- System usage statistics
- Framework metrics
- Rule evaluation results
- Step durations
- GPU utilization
- Batch size
- CPU bottlenecks
- I/O bottlenecks
- Workload balancing
- GPU memory
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