A September 2, 2026 post introduces depth-wise batching: overlapping requests at different recurrent depths to potentially improve utilization with adaptive compute.
Published on September 2, 2026, the post describes “depth-wise batching” as overlapping requests at different recurrent depths. According to the text, this approach may improve utilization in models with adaptive compute. The post also includes references to Recursive Transformers and MoR; the supplied material gives no measurements or quantitative results.
To assess the claim, consult the original post and its references, checking how they define scheduling and utilization and whether they report experimental results. If you use AI to study or apply the idea, avoid sending private code, credentials, or internal data unless necessary; check your organization’s policy and validate conclusions against the source and your own tests.