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

PyTorch

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

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Fast LLM Serving with vLLM and PagedAttention

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LLM Serving: The 4 Hard Truths No One Tells You

InfoQ

LLM Serving: The 4 Hard Truths No One Tells You

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

The Linux Foundation

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

11 days ago - 39:36

How to Efficiently Serve an LLM?

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How to Efficiently Serve an LLM?

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What Production-Grade LLM Serving Actually Requires (Infrastructure Deep Dive)

Predibase

What Production-Grade LLM Serving Actually Requires (Infrastructure Deep Dive)

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Create your multi-node LLM serving K8s cluster with one click

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Create your multi-node LLM serving K8s cluster with one click

4 months ago - 0:31

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

AMD Developer Central

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

13 days ago - 18:08

Enabling Cost-Efficient LLM Serving with Ray Serve

Anyscale

Enabling Cost-Efficient LLM Serving with Ray Serve

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

ACMMobiSys

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

2 weeks ago - 1:31

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

Serverwala Cloud Data Centers Pvt Ltd

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

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

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

1 month ago - 8:26

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AI Insight News

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

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LLM Serving (Rust) demo

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LLM Serving (Rust) demo

7 months ago - 5:06

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

CNCF [Cloud Native Computing Foundation]

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

1 year ago - 9:37

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

kexin.chu2017

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

1 month ago - 11:27

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

MLSys Singapore

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

1 year ago - 35:14

Ray Aviary: Open-Source Multi-LLM Serving

John Snow Labs

Ray Aviary: Open-Source Multi-LLM Serving

1 year ago - 19:16

Reducing Prefill Delay for LLM Serving in RAG By Sharing Knowledge

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Reducing Prefill Delay for LLM Serving in RAG By Sharing Knowledge

1 year ago - 19:10

E07 | Fast LLM Serving with vLLM and PagedAttention

MLSys Singapore

E07 | Fast LLM Serving with vLLM and PagedAttention

1 year ago - 55:36

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

1 month ago - 11:36

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

The Prompt Index

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

2 months ago - 3:02

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

1 month ago - 13:45

Introducing Ray Aviary | 🦜🔍 Open Source Multi-LLM Serving

Anyscale

Introducing Ray Aviary | 🦜🔍 Open Source Multi-LLM Serving

2 years ago - 13:33

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

DevConf

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

2 weeks ago - 28:05

Legion Retreat 2024 - Low-Latency, High-Performance LLM Serving and Fine-tuning - Zhihao Jia

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6 months ago - 30:35

Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inf. on Heterogen. Syst.

HotCarbon

Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inf. on Heterogen. Syst.

1 year ago - 10:47

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

Keyur

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

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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

Unlock LLM Speed: VLLM Crushes the Competition!

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Unlock LLM Speed: VLLM Crushes the Competition!

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

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CNCF [Cloud Native Computing Foundation]

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

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

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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

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

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YanAITalk

LLM inference optimization: Architecture, KV cache and Flash attention

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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 5 days ago - 4:06:11