yale-sys / prompt-cacheLinks
Modular and structured prompt caching for low-latency LLM inference
☆98Updated 9 months ago
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☆79Updated 5 months ago
- ☆116Updated 10 months ago
- ☆125Updated 3 weeks ago
- Stateful LLM Serving☆79Updated 4 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆172Updated 10 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆123Updated 8 months ago
- ☆76Updated 9 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆126Updated last year
- ☆47Updated last year
- ☆110Updated 8 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆51Updated 9 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆225Updated 8 months ago
- ☆67Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆90Updated 2 years ago
- Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system.☆71Updated this week
- A low-latency & high-throughput serving engine for LLMs☆400Updated 2 months ago
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆239Updated last month
- ☆78Updated 3 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆215Updated last month
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design (KDD 2025)☆22Updated last year
- A large-scale simulation framework for LLM inference☆414Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆318Updated last year
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆229Updated 7 months ago
- ☆268Updated 3 weeks ago
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆203Updated this week
- ☆54Updated last year
- Simple extension on vLLM to help you speed up reasoning model without training.☆172Updated 2 months ago
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆185Updated this week