microsoft / vattentionLinks
Dynamic Memory Management for Serving LLMs without PagedAttention
☆448Updated 6 months 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☆456Updated 2 months ago
- Efficient and easy multi-instance LLM serving☆517Updated 3 months ago
- Perplexity GPU Kernels☆539Updated last month
- Disaggregated serving system for Large Language Models (LLMs).☆754Updated 8 months ago
- ☆329Updated last month
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆230Updated 2 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆792Updated 9 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆265Updated 2 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆467Updated 8 months ago
- A lightweight design for computation-communication overlap.☆196Updated 2 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆282Updated 9 months ago
- Zero Bubble Pipeline Parallelism☆442Updated 7 months ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆300Updated 6 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆599Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 5 months ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆557Updated this week
- A large-scale simulation framework for LLM inference☆500Updated 4 months ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆444Updated this week
- High performance Transformer implementation in C++.☆146Updated 11 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆924Updated last month
- Allow torch tensor memory to be released and resumed later☆187Updated 2 weeks ago
- nnScaler: Compiling DNN models for Parallel Training☆121Updated 2 months ago
- ☆126Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- ☆253Updated last year
- ☆348Updated last year
- Distributed Compiler based on Triton for Parallel Systems☆1,280Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆397Updated 2 months ago
- ☆79Updated 2 months ago