Alternatives and similar repositories for vllm-nccl

Users that are interested in vllm-nccl are comparing it to the libraries listed below

• zhaochenyang20 / ModelServer
  Efficient, Flexible, and Highly Fault-Tolerant Model Service Management Based on SGLang
  ☆54Updated 8 months ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated last year
• sgl-project / tensorrt-demo
  TensorRT LLM Benchmark Configuration
  ☆13Updated 11 months ago
• tile-ai / tvm
  Open deep learning compiler stack for cpu, gpu and specialized accelerators
  ☆19Updated last week
• MayDomine / Burst-Attention
  Distributed IO-aware Attention algorithm
  ☆20Updated 10 months ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆70Updated last year
• sail-sg / VocabularyParallelism
  Vocabulary Parallelism
  ☆19Updated 4 months ago
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆40Updated last year
• anyscale / llm-continuous-batching-benchmarks
  ☆120Updated last year
• microsoft / chunk-attention
  ☆77Updated 2 months ago
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆40Updated 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…
  ☆160Updated this week
• cassiewilliam / cuda_op_benchmark
  方便扩展的Cuda算子理解和优化框架，仅用在学习使用
  ☆15Updated last year
• tile-ai / AttentionEngine
  ☆49Updated last month
• CalvinXKY / mfu_calculation
  A simple calculation for LLM MFU.
  ☆39Updated 4 months ago
• Ascend / AscendSpeed
  ☆79Updated last year
• zms1999 / SmartMoE
  A MoE impl for PyTorch, [ATC'23] SmartMoE
  ☆64Updated 2 years ago
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆135Updated last year
• 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.
  ☆38Updated last month
• casper-hansen / AutoAWQ_kernels
  ☆75Updated 7 months ago
• jiahe7ay / infini-mini-transformer
  This is a personal reimplementation of Google's Infini-transformer, utilizing a small 2b model. The project includes both model and train…
  ☆58Updated last year
• Harry-Chen / InfMoE
  Inference framework for MoE layers based on TensorRT with Python binding
  ☆41Updated 4 years ago
• dame-cell / Triformer
  Transformers components but in Triton
  ☆34Updated 2 months ago
• deepspeedai / DeepSpeed-Kernels
  ☆74Updated 3 months ago
• hpcaitech / Elixir
  Elixir: Train a Large Language Model on a Small GPU Cluster
  ☆15Updated 2 years ago
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆108Updated last year
• InternLM / turbomind
  ☆90Updated 3 months ago
• project-etalon / etalon
  LLM Serving Performance Evaluation Harness
  ☆79Updated 4 months ago
• BBuf / megatron-lm-parallel-group-playground
  ☆16Updated last year
• li-plus / flash-preference
  Accelerate LLM preference tuning via prefix sharing with a single line of code
  ☆42Updated last week