Training Systems
13 resources · page 1 of 1
Colossal-AI
Creator not supplied; see original source.
HPC-AI Tech Colossal-AI GitHub repo: parallel training system for large AI models.
DeepGEMM-Ascend
Creator not supplied; see original source.
DeepSeek DeepGEMM-Ascend GitHub repo: matrix multiplication kernels for Huawei Ascend hardware.
DeepSpeed
Creator not supplied; see original source.
DeepSpeed GitHub repo: deep learning optimisation library for large-scale training and inference, origin of ZeRO.
FlashMLA
Creator not supplied; see original source.
DeepSeek FlashMLA GitHub repo: multi-head latent attention decoding kernels for Hopper GPUs.
FlashQLA
Creator not supplied; see original source.
QwenLM FlashQLA GitHub repo: linear attention kernel library built on TileLang.
Megatron-LM
Creator not supplied; see original source.
NVIDIA Megatron-LM GitHub repo: research code for training transformer models at scale with tensor and pipeline parallelism.
TileKernels
Creator not supplied; see original source.
DeepSeek TileKernels GitHub repo: library of GPU kernels written in TileLang.
torchtitan
Creator not supplied; see original source.
PyTorch torchtitan GitHub repo: PyTorch-native platform for large-scale generative model pretraining.
Triton-distributed
Creator not supplied; see original source.
ByteDance Seed Triton-distributed GitHub repo: distributed compiler and parallel kernels overlapping compute and communication.
TurboDiffusion (thu-ml)
Creator not supplied; see original source.
Tsinghua TurboDiffusion GitHub repo: acceleration framework for video diffusion models.
PyTorch FSDP tutorial
Creator not supplied; see original source.
PyTorch tutorial on Fully Sharded Data Parallel (FSDP2) for training large models across GPUs.
Tinker documentation
Creator not supplied; see original source.
Tinker documentation from Thinking Machines Lab: training API for fine-tuning open-weight LLMs, with SDK reference and recipes.
FlashAttention
Creator not supplied; see original source.
arXiv paper (2022) introducing FlashAttention, an IO-aware exact attention algorithm for GPUs.