During January 2026, work focused on enhancing the kvcache-ai/sglang repository by implementing tensor parallelism support for the ZImageAttention module. This involved refactoring the attention mechanism to adjust head counts and introducing the ColumnParallelLinear layer for more efficient linear transformations. Using Python and PyTorch, the changes enabled scalable diffusion workloads across multi-GPU environments, improving both throughput and resource utilization. The update aligned with ongoing diffusion model optimization efforts, allowing for larger batch processing and model sizes. No bug fixes were recorded during this period, with efforts concentrated on deep learning model optimization and multi-GPU scalability improvements.