Lindsay Reiser developed a feature for the aws/aws-ofi-nccl repository that enhances the reliability of distributed GPU communication. By introducing a configurable parameter to override the default progress mode in the NCCL Libfabric integration, Lindsay addressed issues arising in environments where acknowledgments may be dropped. This work involved C++ and leveraged expertise in network programming and parallel computing to provide users with greater control over communication behavior. The solution improved both configurability and observability for large-scale NCCL deployments, enabling more robust operations. Lindsay’s contribution demonstrated a focused approach to solving a nuanced reliability problem in high-performance distributed systems.