Cost and speed
Accelerating Reinforcement Learning Weight Refit with the Reshard Collective
Our short summary of NVIDIA’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on developer.nvidia.com (opens in a new tab)Problem
Updating model weights on inference GPUs was slow and used too much network bandwidth.
Solution
They created a new Reshard collective that moves only needed weight shards directly between training and inference GPUs, cutting redundant data transfer.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on developer.nvidia.com (opens in a new tab)