Unapologetically SM120-only CuTe DSL kernels for NVFP4 GEMM and MoE.
Reason this release was yanked:
broken
Project description
b12x is an SM120/SM121 CuTe DSL kernel library for (primarily) NVFP4 LLM inference.
It is intentionally narrow. This is not a generic CUDA kernel collection or a
full model-serving stack. It does not intend to target any other GPU architectures,
including SM100. It is a focused package for a small number of high-performance
kernels plus the runtime glue needed to launch them cleanly from sglang/vllm.
Currently supported kernels:
- NVFP4 fused MoE GEMM
- NVFP4 dense GEMM
- BF16/FP8 paged attention
- Sparse MLA attention (for DSA/NSA only).
pip install b12x
Ask your friendly neighborhood AI agent for further information on how to use this library.
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