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vLLM: Easy, Fast, and Cheap LLM Serving for Everyone - Woosuk Kwon & Xiaoxuan Liu, UC Berkeley

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vLLM: Easy, Fast, and Cheap LLM Serving for Everyone - Woosuk Kwon & Xiaoxuan Liu, UC Berkeley

9 months ago - 23:33

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2 months ago - 5:58

[MLArchSys 2025]| Runtime Attestation for Secure LLM Serving in Cloud-Native TEE

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1 month ago - 8:26

Simplify Your Open-Source LLM Serving with Anyscale's Aviary: Ray Serve Automation & Autoscaling

AI Insight News

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2 years ago - 0:53

Simon Mo on vLLM: Easy, Fast, and Cost-Effective LLM Serving for Everyone

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3 weeks ago - 18:08

Introducing Lemonade Server: Local LLM Serving with GPU and NPU Acceleration

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12 days ago - 6:55

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4 months ago - 0:31

[MLArchSys 2025]|SafeKV: Safe KV-Cache Sharing in LLM Serving

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1 month ago - 11:27

MobiSys 25 Teaser - EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices

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MobiSys 25 Teaser - EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices

3 weeks ago - 1:31

Lightning Talk: Best Practices for LLM Serving with DRA - Chen Wang & Abhishek Malvankar, IBM

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1 year ago - 9:37

Scalable and Efficient LLM Serving With the VLLM Production Stack - Junchen Jiang & Yue Zhu

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Scalable and Efficient LLM Serving With the VLLM Production Stack - Junchen Jiang & Yue Zhu

3 weeks ago - 39:36

Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten

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22 hours ago - 43:42

E15 | MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving (ICML'24) 【中文】

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1 year ago - 35:14

LLM Serving (Rust) demo

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LLM Serving (Rust) demo

8 months ago - 5:06

What is vLLM? Efficient AI Inference for Large Language Models

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What is vLLM? Efficient AI Inference for Large Language Models

2 months ago - 4:58

vLLM vs NanoVLLM ⚡ Fast LLM Inference Battle! Which AI Engine Wins?

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vLLM vs NanoVLLM ⚡ Fast LLM Inference Battle! Which AI Engine Wins?

1 month ago - 1:00

MLSys'25 - LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

MIT HAN Lab

MLSys'25 - LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

2 months ago - 11:36

Reducing Prefill Delay for LLM Serving in RAG By Sharing Knowledge

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1 year ago - 19:10

Enabling Cost-Efficient LLM Serving with Ray Serve

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1 year ago - 30:28

vLLM: Easy, Fast, and Cheap LLM Serving for Everyone - Kaichao You, Tsinghua University

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vLLM: Easy, Fast, and Cheap LLM Serving for Everyone - Kaichao You, Tsinghua University

12 days ago - 15:05

Ray Aviary: Open-Source Multi-LLM Serving

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Ray Aviary: Open-Source Multi-LLM Serving

1 year ago - 19:16

MLSys'25 - QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

MIT HAN Lab

MLSys'25 - QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

2 months ago - 13:45

Efficient LLM Serving on Hybrid Real-time and Best-effort Requests

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3 months ago - 3:02

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2 years ago - 13:33

TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

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TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

9 months ago - 8:46

Mélange - Cost Efficient LLM Serving by Using Mixture of GPUs - Hands on Demo

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Mélange - Cost Efficient LLM Serving by Using Mixture of GPUs - Hands on Demo

1 year ago - 10:58

PagedAttention: Revolutionizing LLM Inference with Efficient Memory Management - DevConf.CZ 2025

DevConf

PagedAttention: Revolutionizing LLM Inference with Efficient Memory Management - DevConf.CZ 2025

1 month ago - 28:05

GOSIM CHINA 2024-Kaichao You vLLM: Easy, Fast, and Cheap LLM Serving for Everyone

GOSIM Foundation

GOSIM CHINA 2024-Kaichao You vLLM: Easy, Fast, and Cheap LLM Serving for Everyone

8 months ago - 31:42

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1 year ago - 15:45

GOSIM CHINA 2024 - Kaichao You: vLLM - Easy, Fast, and Cheap LLM Serving for Everyone

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GOSIM CHINA 2024 - Kaichao You: vLLM - Easy, Fast, and Cheap LLM Serving for Everyone

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E07 | Fast LLM Serving with vLLM and PagedAttention

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E07 | Fast LLM Serving with vLLM and PagedAttention

1 year ago - 55:36

SGLang: An Efficient Open-Source Framework for Large-Scale LLM Serving - Liangsheng Yin

PyTorch

SGLang: An Efficient Open-Source Framework for Large-Scale LLM Serving - Liangsheng Yin

12 days ago - 19:37

OSDI '24 - dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving

USENIX

OSDI '24 - dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving

10 months ago - 14:34

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DeepLearn 2025, Xia (Ben) Hu

2 days ago - 20:24

vLLM: Fast & Affordable LLM Serving with PagedAttention | UC Berkeley's Open-Source Library

AI Insight News

vLLM: Fast & Affordable LLM Serving with PagedAttention | UC Berkeley's Open-Source Library

2 years ago - 2:25

Building a Multi-Cluster Privately Hosted LLM Serving Platform on Ku... Julian Bright & Noah Yoshida

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Building a Multi-Cluster Privately Hosted LLM Serving Platform on Ku... Julian Bright & Noah Yoshida

1 year ago - 25:48

【GOSIM AI Paris 2025】Erwan Gallen & Eldar Kurtic: vLLM: Multi-Accelerator & Quantized LLM Serving

GOSIM Foundation

【GOSIM AI Paris 2025】Erwan Gallen & Eldar Kurtic: vLLM: Multi-Accelerator & Quantized LLM Serving

1 month ago - 21:08

Unlock LLM Speed: VLLM Crushes the Competition!

Red Hat AI

Unlock LLM Speed: VLLM Crushes the Competition!

1 month ago - 0:48

InstCache - A Predictive Cache for LLM Serving

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InstCache - A Predictive Cache for LLM Serving

6 months ago - 7:08

Scaling LLM Inference Globally: Novita AI & Vultr in Partnership

Vultr

Scaling LLM Inference Globally: Novita AI & Vultr in Partnership

4 weeks ago - 13:44

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1 year ago - 0:55

LitServe - LLM Serving Inference Engine - Install and Test Locally

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LitServe - LLM Serving Inference Engine - Install and Test Locally

10 months ago - 10:29

MLSys Singapore

MLSys Singapore

MLSys Seminar @SG is a special interest group for Machine Learning System researchers and engineers in Singapore. We meet ...

@MLSysSingapore subscribers

NDSS 2025 - I Know What You Asked: Prompt Leakage via KV-Cache Sharing in Multi-Tenant LLM Serving

NDSS Symposium

NDSS 2025 - I Know What You Asked: Prompt Leakage via KV-Cache Sharing in Multi-Tenant LLM Serving

2 months ago - 16:22

Mindvalley AI Summit 2025 | Day 3 | Live Stream

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Mindvalley AI Summit 2025 | Day 3 | Live Stream

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#431 LLM ServingとClaude Code - 2025/7/22のZennトレンド

zenncast

#431 LLM ServingとClaude Code - 2025/7/22のZennトレンド

4 days ago - 7:02

LLM inference optimization: Architecture, KV cache and Flash attention

YanAITalk

LLM inference optimization: Architecture, KV cache and Flash attention

10 months ago - 44:06

What is vLLM & How do I Serve Llama 3.1 With It?

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11 months ago - 7:23

Large Language Model Serving - ML Systems Design Interview

TRYEXCEPT

Large Language Model Serving - ML Systems Design Interview

4 months ago - 12:59

DistServe: disaggregating prefill and decoding for goodput-optimized LLM inference

PyTorch

DistServe: disaggregating prefill and decoding for goodput-optimized LLM inference

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Autellix: An Efficient Serving Engine for LLM Agents as General Programs

Arxiv Papers

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

5 months ago - 36:28

vLLM: Easy, Fast, and Cheap LLM Serving, Woosuk Kwon, UC Berkeley

AMD Developer Central

vLLM: Easy, Fast, and Cheap LLM Serving, Woosuk Kwon, UC Berkeley

7 months ago - 22:30

Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services

UCFCompArch

Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services

4 months ago - 46:59

Isaac Chung - Speed up open source LLM-serving with llama-cpp-python

PyCon Lithuania

Isaac Chung - Speed up open source LLM-serving with llama-cpp-python

1 year ago - 23:41

LMCache Team

LMCache Team

@LMCacheTeam subscribers

How LLM Use Large Context Windows

Fahd Mirza

How LLM Use Large Context Windows

1 year ago - 3:33

[short] Infinite-LLM: Efficient LLM Service for Long Context with Attention and Distributed KVCache

Arxiv Papers

[short] Infinite-LLM: Efficient LLM Service for Long Context with Attention and Distributed KVCache

1 year ago - 2:59

ACMMobiSys

ACMMobiSys

@ACMMobiSys subscribers

[vLLM Office Hours #27] Intro to llm-d for Distributed LLM Inference

Neural Magic

[vLLM Office Hours #27] Intro to llm-d for Distributed LLM Inference

1 month ago - 1:19:57

MIT HAN Lab

MIT HAN Lab

MIT HAN Lab: Hardware, AI and Neural-nets Accelerate Deep Learning Computing Group website: hanlab.mit.edu TinyML ...

@MITHANLab subscribers

kexin.chu2017

kexin.chu2017

@kexin.chu2017 subscribers

[QA] Autellix: An Efficient Serving Engine for LLM Agents as General Programs

Arxiv Papers

[QA] Autellix: An Efficient Serving Engine for LLM Agents as General Programs

5 months ago - 8:20

Predibase

Predibase

The highest quality models with the fastest throughput tailored to your use case—served in your cloud or ours. As the first platform ...

@Predibase subscribers

Predibase

Predibase

The highest quality models with the fastest throughput tailored to your use case—served in your cloud or ours. As the first platform ...

@Predibase subscribers

Task Scheduling for Decentralized LLM Serving | Dr. Sanjaya Kumar Panda | GenLang 5.0

S.P.I.T. Media

Task Scheduling for Decentralized LLM Serving | Dr. Sanjaya Kumar Panda | GenLang 5.0

Streamed 2 weeks ago - 4:06:11

Jianchang Su

Jianchang Su

@JianchangSu-cc2fi subscribers

Fuhai Gao

Fuhai Gao

@fuhaigao1117 subscribers

Optimize LLM inference with vLLM

Red Hat

Optimize LLM inference with vLLM

4 days ago - 6:13

PyTorch

PyTorch

Welcome to the official PyTorch YouTube Channel. Learn about the latest PyTorch tutorials, new, and more. PyTorch is an open ...

@PyTorch subscribers

Serve a Custom LLM for Over 100 Customers

Trelis Research

Serve a Custom LLM for Over 100 Customers

1 year ago - 51:56

Advancing efficient ML

Google Research

Advancing efficient ML

1 year ago - 12:04

DeepLearn 2025, Xia (Ben) Hu

José Luís Reis

DeepLearn 2025, Xia (Ben) Hu

2 days ago - 20:24

S.P.I.T. Media

S.P.I.T. Media

@SPITMedia-tu5rk subscribers