
Ash Bhandare developed GPU metrics instrumentation for the NVIDIA/NeMo-Run repository, focusing on enhancing observability and performance analysis for distributed GPU workloads. He implemented a feature that collects GPU device metrics using Nsys on rank 0 during Slurm-enabled runs, integrating this capability with the SlurmExecutor to conditionally enable metrics collection. The solution involved constructing the Nsys entrypoint to include metrics when appropriate and adding unit tests to ensure correct functionality. Leveraging Python, shell scripting, and system administration skills, Ash’s work addressed the need for improved resource optimization and monitoring, delivering a targeted, well-tested enhancement to the project’s profiling capabilities.

June 2025 monthly summary for NVIDIA/NeMo-Run focusing on GPU metrics instrumentation and observability improvements. Delivered a feature to collect GPU device metrics via Nsys on rank 0 in Slurm-enabled runs, integrated with SlurmExecutor to conditionally enable metrics collection, and constructed the Nsys entrypoint to include metrics when applicable. Added unit tests to verify the behavior. This work enhances observability, performance analysis, and resource optimization for GPU workloads.
June 2025 monthly summary for NVIDIA/NeMo-Run focusing on GPU metrics instrumentation and observability improvements. Delivered a feature to collect GPU device metrics via Nsys on rank 0 in Slurm-enabled runs, integrated with SlurmExecutor to conditionally enable metrics collection, and constructed the Nsys entrypoint to include metrics when applicable. Added unit tests to verify the behavior. This work enhances observability, performance analysis, and resource optimization for GPU workloads.
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