A machine learning platform team is deploying a multi-node inference cluster where large batches of feature data arrive continuously over the InfiniBand fabric and must be delivered directly into GPU memory with minimal latency. Profiling shows that CPU involvement in staging incoming network packets before they reach the GPU is adding overhead and consuming CPU cycles needed elsewhere. Which technology should the team enable to allow data from the network adapter to move directly into GPU memory without a CPU-mediated copy?