Abhinav Goel updated the GPU performance documentation for the NVIDIA/JAX-Toolbox repository, focusing on Blackwell (B200) systems and their use in large language model training. He provided targeted guidance on performance tuning, including practical tips for attention mask types, CUDA device connections, XLA flags, and memory utilization. Using Markdown for clear and accessible documentation, Abhinav aligned the content with hardware-specific features to help users optimize training workflows. His work improved the quality and accessibility of technical documentation, accelerating onboarding and reducing support needs. The depth of his contribution lay in translating complex hardware details into actionable, user-friendly performance guidance.