Kernel Fusion Python Packages

tokenspeed-iris

AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

g2n

A torch.compile backend that pays attention: custom FX fusion passes, a Triton LayerNorm kernel, and a persistent compile cache. Apache-2.0 free core of the g2n platform.

mhc-mlx

MLX + Metal implementation of mHC: Manifold-Constrained Hyper-Connections by DeepSeek-AI.

cutile-gpt

A complete GPT built entirely on NVIDIA cuTile: declarative GPU kernels in ~20 lines instead of ~150 hand-tuned CUDA, matching PyTorch speed in a ~10MB footprint

alia-molten

Write the math. Get the kernel. Fused CUDA kernel generation from mathematical specifications.

fused-turboquant

Fused Triton kernels for TurboQuant KV cache compression — 2-4 bit quantization with RHT rotation. Drop-in HuggingFace & vLLM integration. Up to 4.9x KV cache compression for Llama, Qwen, Mistral, and more.