2025-09: Stability improvement for HPU Model Runner warmup in vllm-gaudi. Fixed warmup failures when large decode bucket sizes exceeded the max sequence limit by adding a temporary batch-size adjustment during warmup, improving initialization reliability across bucketing configurations and reducing deployment risk.

July 2025 (mlcommons/inference): Delivered a key feature to extend evaluation sequence length for Llama3.1-8b by increasing the model_max_length in the evaluation script, enabling longer inputs and potential throughput improvements. Change captured in evaluation.py commit 33a0c3463ff69f52623e7d51f49aaded53055567 (#2303). No major bugs fixed this month. Impact: higher realism and throughput in evaluations; strengthens ML benchmarking capabilities. Skills demonstrated: Python-based evaluation tooling, parameter tuning, and Git-based change management across the repository.