Tools
7/ Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking Paper: https://arxiv.org/abs/2602.21196
Untied Ulysses is a memory-efficient technique for context parallelism that processes attention heads in chunks rather than sequences, reducing memory overhead during transformer inference and trainin
Untied Ulysses is a memory-efficient technique for context parallelism that processes attention heads in chunks rather than sequences, reducing memory overhead during transformer inference and training. The method, presented by Together AI, enables more efficient handling of long context windows by decomposing the attention computation headwise rather than sequencewise. This approach aims to improve the scalability of large language models when processing extended contexts across distributed systems.
Source: Together AI (X) | 2026-07-01