Leaps and Bounds With Blackwell
The first Blackwell training submission to the MLCommons Consortium — which creates standardized, unbiased and rigorously peer-reviewed testing for industry participants — highlights how the architecture is advancing generative AI training performance.

For instance, the architecture includes new kernels that make more efficient use of Tensor Cores. Kernels are optimized, purpose-built math operations like matrix-multiplies that are at the heart of many deep learning algorithms.