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CUTLASS Tutorial: Hardware-supported Block-scaling with NVIDIA Blackwell GPUs

research.colfax-intl.com · published 5 March 2026

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https://docs.nvidia.com/cuda/parallel-thread-execution/

docs.nvidia.com

CUTLASS Tutorial: Sub-byte GEMM on NVIDIA® Blackwell GPUs Read at the source ↗

research.colfax-intl.com

https://www.opencompute.org/documents/ocp-microscaling-formats-mx-v1-0-spec-final-pdf

opencompute.org

Introducing NVFP4 for Efficient and Accurate Low-Precision Inference Read at the source ↗

developer.nvidia.com

CUTLASS Tutorial: Writing GEMM Kernels Using Tensor Memory For NVIDIA® Blackwell GPUs Read at the source ↗

research.colfax-intl.com

https://docs.nvidia.com/cuda/parallel-thread-execution/index.html

docs.nvidia.com

https://github.com/NVIDIA/cutlass/blob/3476ddb7bd6ca4161a0169103ceaa20ce0eb891f/examples/python/CuTeDSL/blackwell/dense_blockscaled_gemm_persistent.py

github.com

https://docs.nvidia.com/cutlass/4.3.4/media/docs/cpp/blackwell_functionality.html

docs.nvidia.com

https://github.com/NVIDIA/cutlass/blob/main/examples/python/CuTeDSL/blackwell/dense_blockscaled_gemm_persistent.py

github.com

CUTLASS Tutorial: GEMM with Thread Block Clusters on NVIDIA® Blackwell GPUs Read at the source ↗

research.colfax-intl.com

Join Us for the Blackwell NVFP4 Kernel Hackathon with NVIDIA and GPU MODE Read at the source ↗

https://www.gpumode.com/leaderboard/597?tab=rankings

gpumode.com