Alternatives and similar repositories for discord-cluster-manager

Users that are interested in discord-cluster-manager are comparing it to the libraries listed below

• meta-pytorch / BackendBench
  How to ensure correctness and ship LLM generated kernels in PyTorch
  ☆66Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆154Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆145Updated 2 years ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆206Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆157Updated 6 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 7 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆89Updated 6 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆381Updated 3 weeks ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆80Updated last year
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆62Updated this week
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆107Updated 9 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆240Updated this week
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆92Updated last month
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆263Updated last month
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆193Updated 4 months ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆163Updated this week
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆99Updated last week
• HazyResearch / train-tk
  train with kittens!
  ☆63Updated 11 months ago
• Jokeren / triton-samples
  ☆28Updated 9 months ago
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆25Updated 3 months ago
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆133Updated last month
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆65Updated 7 months ago
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆68Updated 3 weeks ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆223Updated last year
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆76Updated last month
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆144Updated last year
• ScalingIntelligence / good-kernels
  Samples of good AI generated CUDA kernels
  ☆91Updated 4 months ago
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆420Updated last week
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆160Updated last week
• gpu-mode / popcorn-cli
  ☆42Updated last month