Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile
NVIDIA cuTile enables Python-based GPU kernel authoring for Mamba-2 with peak hardware performance
NVIDIA's CUDA Tile (cuTile) is a Python-based DSL that abstracts low-level GPU thread scheduling behind tile-centric primitives, enabling high-performance kernel development without manual warp management. The post demonstrates its use for accelerating Mamba-2 forward pass kernels, a state-space model architecture competing with Transformers. This matters as tooling that lowers the barrier to custom GPU kernel authoring could accelerate research on non-Transformer architectures.