GPU-accelerated Weight Teleportation | humans&

The authors introduce a GPU-accelerated weight teleportation pipeline for large-scale reinforcement learning that achieves end-to-end weight synchronization in under four seconds and reduces sampler pause times below 0.23 seconds. By combining massively parallel GPU compression, heterogeneous CPU-GPU decompression, and hardware-native Blackwell Decompression Engine integration, the method bypasses traditional intra-cluster networking bottlenecks and disk round trips. Open article →