microsoft / vattentionLinks
Dynamic Memory Management for Serving LLMs without PagedAttention
☆396Updated 3 weeks ago
Alternatives and similar repositories for vattention
Users that are interested in vattention are comparing it to the libraries listed below
Sorting:
- A low-latency & high-throughput serving engine for LLMs☆379Updated 3 weeks ago
- Perplexity GPU Kernels☆364Updated last week
- Efficient and easy multi-instance LLM serving☆437Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆617Updated 2 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆214Updated last year
- Distributed Compiler Based on Triton for Parallel Systems☆829Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆252Updated 7 months ago
- High performance Transformer implementation in C++.☆125Updated 5 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆310Updated 11 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆431Updated 2 months ago
- ☆212Updated 11 months ago
- A large-scale simulation framework for LLM inference☆382Updated 7 months ago
- Zero Bubble Pipeline Parallelism☆398Updated last month
- Fast low-bit matmul kernels in Triton☆322Updated this week
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆378Updated this week
- Applied AI experiments and examples for PyTorch☆277Updated 3 weeks ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆255Updated 3 months ago
- nnScaler: Compiling DNN models for Parallel Training☆113Updated this week
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆198Updated this week
- A lightweight design for computation-communication overlap.☆141Updated last week
- A collection of memory efficient attention operators implemented in the Triton language.☆272Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆825Updated 2 weeks ago
- A Easy-to-understand TensorOp Matmul Tutorial☆364Updated 9 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆480Updated 9 months ago
- Materials for learning SGLang☆443Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆377Updated last month
- kernels, of the mega variety☆390Updated 2 weeks ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆224Updated last week
- ☆91Updated 5 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆705Updated 3 months ago