Trial
Why?
- Troubleshooting performance, utilization, and correctness of GPU workloads requires specialized telemetry and profiling tools.
- Better observability unlocks higher utilization and faster issue resolution for training & inference.
What?
- Adopt tooling for GPU telemetry and profiling (NVIDIA Nsight, DCGM, PyTorch/TensorBoard profilers, Prometheus exporters).
- Establish logging and tracing practices that correlate GPU metrics with jobs, datasets, and deployments.
- Build runbooks for common performance issues and capacity bottlenecks.