During July 2025, Garry Best focused on improving the reliability of GPU memory reporting for the sgl-project/sglang repository. He addressed a crash scenario that occurred when running sglang inside NVIDIA MIG containers, where nvidia-smi occasionally failed to retrieve GPU memory capacity. To resolve this, Garry implemented a fallback mechanism using torch.cuda.mem_get_info(), ensuring that memory information remained accessible even when the primary method failed. This Python-based solution enhanced runtime stability and reduced downtime for containerized GPU workloads. Garry’s work demonstrated a solid understanding of GPU computing and container environments, delivering a targeted bug fix with clear operational impact.