WukLab / prebleLinks
Stateful LLM Serving
☆81Updated 5 months ago
Alternatives and similar repositories for preble
Users that are interested in preble are comparing it to the libraries listed below
Sorting:
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆128Updated last year
- ☆68Updated last year
- ☆114Updated 9 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆180Updated 11 months ago
- ☆121Updated 10 months ago
- High performance Transformer implementation in C++.☆129Updated 7 months ago
- ☆131Updated last month
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆62Updated last year
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆200Updated last month
- kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference.☆61Updated last week
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆57Updated 9 months ago
- A resilient distributed training framework☆94Updated last year
- A lightweight design for computation-communication overlap.☆157Updated last week
- A framework for generating realistic LLM serving workloads☆53Updated 2 months ago
- nnScaler: Compiling DNN models for Parallel Training☆115Updated this week
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆105Updated 3 months ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆54Updated last month
- ☆75Updated 3 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆84Updated 2 years ago
- LLM serving cluster simulator☆108Updated last year
- Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system.☆75Updated last week
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆120Updated this week
- A low-latency & high-throughput serving engine for LLMs☆405Updated 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…☆266Updated 5 months ago
- NEO is a LLM inference engine built to save the GPU memory crisis by CPU offloading☆52Updated 2 months ago
- ☆279Updated 2 weeks ago
- An interference-aware scheduler for fine-grained GPU sharing☆144Updated 7 months ago
- DeepSeek-V3/R1 inference performance simulator☆165Updated 5 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆27Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆224Updated last month