yale-sys / prompt-cacheLinks
Modular and structured prompt caching for low-latency LLM inference
☆110Updated last year
Alternatives and similar repositories for prompt-cache
Users that are interested in prompt-cache are comparing it to the libraries listed below
Sorting:
- LLM Serving Performance Evaluation Harness☆83Updated 11 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆209Updated last year
- ☆150Updated last year
- ☆164Updated 6 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆135Updated last year
- Stateful LLM Serving☆95Updated 10 months ago
- ☆47Updated last year
- ☆83Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆93Updated 2 years ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆69Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆141Updated last year
- ☆20Updated 8 months ago
- ☆131Updated last year
- Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system.☆122Updated last month
- ☆85Updated 3 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆260Updated last year
- ☆93Updated last year
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆313Updated 8 months ago
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆220Updated 8 months ago
- A low-latency & high-throughput serving engine for LLMs☆470Updated last month
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆279Updated last week
- A large-scale simulation framework for LLM inference☆530Updated 6 months ago
- ☆303Updated 6 months ago
- ☆85Updated 9 months ago
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆248Updated last year
- PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design (KDD 2025)☆30Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆233Updated 2 years ago
- ☆89Updated 3 years ago
- A minimal implementation of vllm.☆66Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆176Updated last year