Efficient Triton Kernels for LLM Training
Triton GitHub Repositories (2026) · Open Source Tools
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KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required
Laplace's Scissors: protected readout rotations for open LLMs. Diagnose weak output directions, repair answers, preserve successful generations, and analyze scaling deviations with Rust and Triton on CUDA/HIP.
Trainable fast and memory-efficient sparse attention
FlagGems is an operator library for large language models implemented in the Triton Language.
TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming