Alternatives and similar repositories for ditorch

Users that are interested in ditorch are comparing it to the libraries listed below

• FlagOpen / FlagCX
  ☆125Updated last week
• InternLM / turbomind
  ☆97Updated 7 months ago
• BBuf / tensorrt-llm-moe
  ☆33Updated 9 months ago
• Ascend / torchair
  ☆19Updated this week
• OpenPPL / ppl.llm.serving
  ☆130Updated 10 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• flagos-ai / flagtree
  FlagTree is a unified compiler for multiple AI chips, which is forked from triton-lang/triton.
  ☆131Updated this week
• OpenPPL / ppl.pmx
  ☆60Updated 11 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆152Updated 10 months ago
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆42Updated 8 months ago
• infinigence / Semi-PD
  A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.
  ☆114Updated 5 months ago
• OpenPPL / ppl.nn.llm
  ☆139Updated last year
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆112Updated last year
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆119Updated last year
• FlagTree / libtriton_jit
  A Triton JIT runtime and ffi provider in C++
  ☆29Updated last week
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated 2 months 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.
  ☆226Updated 3 months ago
• AlibabaPAI / FLASHNN
  ☆102Updated last year
• Ascend / triton-ascend
  Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
  ☆82Updated this week
• gogongxt / nano-sglang
  ☆41Updated 3 weeks 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 5 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆76Updated 8 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆78Updated last year
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆124Updated 6 months ago
• DeepLink-org / DLSlime
  DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit
  ☆78Updated this week
• zhaochenyang20 / ModelServer
  Efficient, Flexible, and Highly Fault-Tolerant Model Service Management Based on SGLang
  ☆59Updated last year
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆107Updated 7 months ago
• AlibabaPAI / torchacc
  PyTorch distributed training acceleration framework
  ☆53Updated 3 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆102Updated 7 years ago
• toyaix / TritonLLM
  LLM Inference via Triton (Flexible & Modular): Focused on Kernel Optimization using CUBIN binaries, Starting from gpt-oss Model
  ☆56Updated 3 weeks ago