LMCache / demo
☆11Updated 2 weeks ago
Alternatives and similar repositories for demo:
Users that are interested in demo are comparing it to the libraries listed below
- Stateful LLM Serving☆65Updated last month
- LLM Serving Performance Evaluation Harness☆77Updated 2 months ago
- The driver for LMCache core to run in vLLM☆38Updated 3 months ago
- ☆59Updated 10 months ago
- ☆73Updated 2 weeks ago
- ☆45Updated 10 months ago
- ☆104Updated 4 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆47Updated 6 months ago
- PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design (KDD 2025)☆19Updated 10 months ago
- ☆63Updated 6 months ago
- Modular and structured prompt caching for low-latency LLM inference☆92Updated 5 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆118Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆115Updated 5 months ago
- ☆84Updated last month
- ☆100Updated 6 months ago
- A lightweight design for computation-communication overlap.☆35Updated last week
- 16-fold memory access reduction with nearly no loss☆91Updated last month
- ☆68Updated last week
- ☆95Updated 5 months ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆103Updated last month
- Summary of system papers/frameworks/codes/tools on training or serving large model☆56Updated last year
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆155Updated 7 months ago
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆35Updated 2 weeks ago
- An experimentation platform for LLM inference optimisation☆29Updated 7 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆45Updated 9 months ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆99Updated last year
- ☆53Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆25Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆54Updated 10 months ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆34Updated this week