Alternatives and similar repositories for JittorInfer

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

• flagos-ai / FlagCX
  FlagCX is a scalable and adaptive cross-chip communication library.
  ☆138Updated this week
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆242Updated last month
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆141Updated 8 months ago
• infinigence / Semi-PD
  A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.
  ☆123Updated 2 weeks ago
• sii-research / VCCL
  Venus Collective Communication Library, supported by SII and Infrawaves.
  ☆132Updated this week
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆96Updated 3 weeks ago
• Ascend / triton-ascend
  Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
  ☆97Updated last week
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆78Updated 10 months ago
• DeepLink-org / DLSlime
  DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit
  ☆91Updated this week
• InternLM / turbomind
  ☆96Updated 9 months ago
• heheda12345 / MagPy
  ☆41Updated last year
• OpenBMB / CPM.cu
  CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…
  ☆214Updated 3 months ago
• bytedance / InfiniStore
  KV cache store for distributed LLM inference
  ☆378Updated last month
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆132Updated 2 years ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆76Updated 3 years ago
• LLMServe / SwiftTransformer
  High performance Transformer implementation in C++.
  ☆148Updated 11 months ago
• BBuf / tensorrt-llm-moe
  ☆33Updated 11 months ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆175Updated 11 months ago
• pigirons / conv3x3_m1
  This is a demo how to write a high performance convolution run on apple silicon
  ☆57Updated 3 years ago
• bytedance / xpu-perf
  AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…
  ☆289Updated 4 months ago
• flagos-ai / libtriton_jit
  A Triton JIT runtime and ffi provider in C++
  ☆30Updated 2 weeks ago
• microsoft / AttentionEngine
  ☆116Updated 7 months ago
• OpenPPL / CuAssembler
  An unofficial cuda assembler, for all generations of SASS, hopefully ：）
  ☆84Updated 2 years ago
• tile-ai / tilelang-ascend
  Ascend TileLang adapter
  ☆177Updated this week
• DeepLink-org / dlinfer
  ☆71Updated last week
• OpenPPL / ppl.llm.serving
  ☆130Updated last year
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆120Updated last year
• OpenPPL / ppl.llm.kernel.cuda
  ☆152Updated last year
• intelligent-machine-learning / atorch
  An industrial extension library of pytorch to accelerate large scale model training
  ☆56Updated 4 months ago
• stepfun-ai / StepMesh
  ☆337Updated this week