NetX-lab / AyoLinks
[ASPLOS'25] Towards End-to-End Optimization of LLM-based Applications with Ayo
☆50Updated 3 months ago
Alternatives and similar repositories for Ayo
Users that are interested in Ayo are comparing it to the libraries listed below
Sorting:
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆220Updated 3 months ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆72Updated last month
- ☆151Updated 4 months ago
- ☆27Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆132Updated last year
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆91Updated 2 years ago
- InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)☆160Updated last year
- ☆40Updated last year
- ☆124Updated last year
- ☆21Updated last year
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆191Updated last year
- This repository is established to store personal notes and annotated papers during daily research.☆161Updated this week
- ☆79Updated last month
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆133Updated 2 weeks ago
- ☆79Updated 3 years ago
- A resilient distributed training framework☆96Updated last year
- ☆57Updated 3 weeks ago
- ☆140Updated last year
- Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction | A tiny BERT model can tell you the verbosity of an …☆48Updated last year
- LLM serving cluster simulator☆120Updated last year
- ☆23Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆31Updated last year
- Stateful LLM Serving☆88Updated 8 months ago
- A framework for generating realistic LLM serving workloads☆79Updated last month
- Compiler for Dynamic Neural Networks☆46Updated 2 years ago
- Research prototype of PRISM — a cost-efficient multi-LLM serving system with flexible time- and space-based GPU sharing.☆46Updated 3 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆63Updated last year
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆279Updated 8 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆64Updated last year
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding co…☆242Updated 3 months ago