ELS-RD/kernl

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1584 stars · 98 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kernl is an open-source PyTorch model optimization library that accelerates transformer inference on GPUs with a single line of code, using OpenAI Triton kernels, CUDA Graphs, and TorchDynamo. It is now archived, with its Triton debugger upstreamed to the official Triton repository.

Use cases

• speed up pytorch transformer inference on gpu
• optimize huggingface models without rewriting them
• learn how flash attention works with tutorials
• write and debug custom triton gpu kernels
• avoid tensorrt or onnx export for model acceleration

When to choose

• you want one-line GPU acceleration for PyTorch transformer models
• you want readable, hackable Triton kernels instead of CUDA C
• you want educational tutorials on matmul, online softmax, and flash attention

When to avoid

• you need actively maintained software - the project is archived
• you need production inference serving beyond transformer optimization
• you do not have an NVIDIA GPU

Facets

library · maturity abandoned

machine-learning llm-inference gpu-computing benchmarking machine-learning deep-learning gpu-computing developer-tools python triton cuda-kernels pytorch-optimization flash-attention kernel-fusion archived gpu linux

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markdown · JSON · MCP: product_card(name="ELS-RD/kernl")