Alternatives and similar repositories for Triton-distributed

Users that are interested in Triton-distributed are comparing it to the libraries listed below

• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆745Updated this week
• perplexityai / pplx-kernels
  Perplexity GPU Kernels
  ☆513Updated this week
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆553Updated last month
• bytedance / flux
  A fast communication-overlapping library for tensor/expert parallelism on GPUs.
  ☆1,161Updated 2 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆433Updated 5 months ago
• volcengine / veScale
  A PyTorch Native LLM Training Framework
  ☆879Updated last month
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆645Updated this week
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆441Updated 5 months ago
• LLMServe / DistServe
  Disaggregated serving system for Large Language Models (LLMs).
  ☆713Updated 6 months ago
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆626Updated last week
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆432Updated 5 months ago
• sgl-project / SpecForge
  Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
  ☆451Updated this week
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆909Updated this week
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆775Updated 7 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆389Updated 3 weeks ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆705Updated 2 months ago
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆594Updated last month
• mirage-project / mirage
  Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
  ☆1,911Updated last week
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆283Updated last year
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆568Updated last year
• thuml / depyf
  depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
  ☆749Updated 2 weeks ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆632Updated last week
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆903Updated last month
• Bruce-Lee-LY / cuda_hgemm
  Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…
  ☆488Updated last year
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆384Updated last month
• feifeibear / long-context-attention
  USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
  ☆586Updated 2 weeks ago
• antgroup / glake
  GLake: optimizing GPU memory management and IO transmission.
  ☆486Updated 7 months ago
• stepfun-ai / StepMesh
  ☆309Updated last month
• microsoft / mscclpp
  MSCCL++: A GPU-driven communication stack for scalable AI applications
  ☆427Updated this week
• AlibabaPAI / llumnix
  Efficient and easy multi-instance LLM serving
  ☆504Updated last month