Alternatives and similar repositories for triton-cn

Users that are interested in triton-cn are comparing it to the libraries listed below

• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆113Updated 5 months ago
• gogongxt / nano-sglang
  ☆70Updated 2 weeks ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆235Updated 3 weeks ago
• madsys-dev / deepseekv2-profile
  ☆153Updated 9 months ago
• LDLINGLINGLING / nano_vllm_note
  注释的nano_vllm仓库，并且完成了MiniCPM4的适配以及注册新模型的功能
  ☆114Updated 4 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆97Updated 11 months ago
• mdy666 / mdy_triton
  ☆150Updated 5 months ago
• OpenBMB / CPM.cu
  CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…
  ☆208Updated 2 months ago
• InternLM / turbomind
  ☆97Updated 8 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆135Updated 7 months ago
• flagos-ai / FlagCX
  ☆134Updated last week
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆119Updated last year
• InfiniTensor / InfiniTensor
  ☆274Updated last month
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆166Updated 2 months ago
• DeepLink-org / DLSlime
  DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit
  ☆82Updated this week
• iclementine / optimize_softmax
  Optimize softmax in triton in many cases
  ☆21Updated last year
• pzhao-eng / FlashMLA
  ☆59Updated 4 months ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆75Updated 2 years ago
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆45Updated 6 months ago
• PKU-SEC-Lab / HybriMoE
  [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"
  ☆94Updated 6 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆152Updated 11 months ago
• Ascend / triton-ascend
  Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
  ☆88Updated last week
• AyakaGEMM / Hands-on-GEMM
  ☆144Updated last year
• AlibabaPAI / FLASHNN
  ☆102Updated last year
• ByteDance-Seed / cudaLLM
  ☆124Updated 3 months ago
• sunkx109 / GPUs-Specs
  Summary of the Specs of Commonly Used GPUs for Training and Inference of LLM
  ☆67Updated 4 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆133Updated 2 years ago
• LLMServe / SwiftTransformer
  High performance Transformer implementation in C++.
  ☆143Updated 10 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆77Updated 9 months ago