Alternatives and similar repositories for vpipe

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

• parasailteam / coconet
  ☆79Updated 2 years ago
• alpa-projects / mms
  AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)
  ☆81Updated last year
• microsoft / SuperScaler
  An experimental parallel training platform
  ☆54Updated last year
• Raphael-Hao / brainstorm
  Compiler for Dynamic Neural Networks
  ☆46Updated last year
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆76Updated 4 years ago
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆171Updated 7 months ago
• zhuohan123 / terapipe
  ☆73Updated 4 years ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆113Updated last month
• mutinifni / splitwise-sim
  LLM serving cluster simulator
  ☆100Updated last year
• msr-fiddle / piper
  ☆9Updated 3 years ago
• netx-repo / PipeSwitch
  PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
  ☆126Updated 3 years ago
• SJTU-IPADS / reef
  REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…
  ☆94Updated 2 years ago
• uclasystem / bamboo
  Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.
  ☆50Updated 2 years ago
• Raphael-Hao / Abacus
  ☆37Updated 3 years ago
• kungfu-team / tenplex
  Dynamic resources changes for multi-dimensional parallelism training
  ☆25Updated 6 months ago
• casys-kaist / glet
  ☆49Updated 5 months ago
• microsoft / msccl-tools
  Synthesizer for optimal collective communication algorithms
  ☆106Updated last year
• JF-D / Proteus
  ☆23Updated 10 months ago
• pkusys / ElasticFlow
  Artifacts for our ASPLOS'23 paper ElasticFlow
  ☆51Updated last year
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆63Updated 2 months ago
• zhaiyi000 / tlp
  ☆41Updated last year
• google / iopddl
  Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning
  ☆23Updated 3 weeks ago
• msr-fiddle / dnn-partitioning
  ☆40Updated 4 years ago
• eniac / paella
  Paella: Low-latency Model Serving with Virtualized GPU Scheduling
  ☆58Updated last year
• hao-ai-lab / MuxServe
  ☆62Updated 11 months ago
• ConnollyLeon / awesome-Auto-Parallelism
  A baseline repository of Auto-Parallelism in Training Neural Networks
  ☆142Updated 2 years ago
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆95Updated last year
• yuyangJin / PerFlow-AI
  PerFlow-AI is a programmable performance analysis, modeling, prediction tool for AI system.
  ☆19Updated last month
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆38Updated 2 years ago
• Rivendile / Muri
  Artifacts for our SIGCOMM'22 paper Muri
  ☆41Updated last year