llm-db / FineInferLinks
Deferred Continuous Batching in Resource-Efficient Large Language Model Serving (EuroMLSys 2024)
☆19Updated last year
Alternatives and similar repositories for FineInfer
Users that are interested in FineInfer are comparing it to the libraries listed below
Sorting:
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated last year
- ☆25Updated 2 years ago
- A resilient distributed training framework☆96Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 3 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆46Updated 3 years ago
- Surrogate-based Hyperparameter Tuning System☆27Updated 2 years ago
- ☆14Updated 3 years ago
- Official Repo for "SplitQuant / LLM-PQ: Resource-Efficient LLM Offline Serving on Heterogeneous GPUs via Phase-Aware Model Partition and …☆36Updated 4 months ago
- ☆16Updated last year
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆64Updated last year
- A framework for generating realistic LLM serving workloads☆94Updated 3 months ago
- 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
- SOTA Learning-augmented Systems☆37Updated 3 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆133Updated last year
- ☆16Updated 8 months ago
- Stateful LLM Serving☆93Updated 9 months ago
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆20Updated last year
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆57Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆75Updated 2 months ago
- AI model training on heterogeneous, geo-distributed resources☆32Updated last month
- Medusa: Accelerating Serverless LLM Inference with Materialization [ASPLOS'25]☆40Updated 7 months ago
- Model-less Inference Serving☆92Updated 2 years ago
- ☆44Updated 4 years ago
- ☆21Updated 3 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆24Updated 7 months ago
- An Attention Superoptimizer☆22Updated 11 months ago
- ☆23Updated 4 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Updated 3 years ago
- An experimental parallel training platform☆56Updated last year