microsoft / vidur
A large-scale simulation framework for LLM inference
☆236Updated 3 weeks ago
Related projects: ⓘ
- A low-latency & high-throughput serving engine for LLMs☆174Updated last week
- Efficient serverless deployment for large AI models.☆178Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆278Updated last month
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆153Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆186Updated last month
- Latency and Memory Analysis of Transformer Models for Training and Inference☆338Updated 3 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆258Updated 2 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆276Updated last week
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆89Updated last week
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆70Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆90Updated last month
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆84Updated 2 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆166Updated 11 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆161Updated 2 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆110Updated last month
- paper and its code for AI System☆202Updated 3 weeks ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆360Updated last month
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆92Updated 6 months ago
- Fast Inference of MoE Models with CPU-GPU Orchestration☆163Updated 3 months ago
- A throughput-oriented high-performance serving framework for LLMs☆470Updated this week
- Efficient and easy multi-instance LLM serving☆119Updated this week
- Modular and structured prompt caching for low-latency LLM inference☆43Updated 4 months ago
- A resilient distributed training framework☆78Updated 5 months ago
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆399Updated 2 weeks ago
- ☆269Updated 5 months ago
- Curated collection of papers in machine learning systems☆123Updated last month
- Zero Bubble Pipeline Parallelism☆254Updated 2 weeks ago
- ☆32Updated this week
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆183Updated last month
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆173Updated 3 months ago