Ray Direct Transport (RDT) is a new feature in Ray Core designed to enhance the efficiency of GPU data transfers by leveraging high-bandwidth communication technologies such as RDMA and NVLink, particularly for reinforcement learning (RL) applications involving large language models (LLMs). This development addresses the limitations of Ray's CPU-based object store in handling large tensor transfers between GPUs by enabling direct GPU-to-GPU communication, significantly speeding up data transfers by up to 1000 times with minimal code changes. RDT supports various transport libraries like NCCL and NIXL and allows users to specify data dependencies while choosing the most suitable transport method for their setup. In a practical application, RDT can accelerate weights synchronization and data transfer in RL training loops, as demonstrated in a minimal RL example using the Group Relative Policy Optimization (GRPO) algorithm. Currently in its alpha phase, RDT is focused on Ray actors, with ongoing efforts to expand its capabilities and gather user feedback for further enhancements.