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vLLM — AI News Today

PlatformOpen Source

vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley.

github.com/vllm-project/vllm

196 stories about vLLM

6 from your feeds23 from search

About vLLM

vLLM is an AI platform. vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley. This page tracks 196 recent news stories about vLLM, curated from 30+ sources and updated every 15 minutes.

vLLM — Coverage Momentum

28
This month
↑47%
vs last month
182
All-time
May 2026
Peak month
29
35
19
29
19
28
AprMayJunJulAugSep

First tracked Jan 2025. Most-citing sources: r/LocalLLaMA (65), Medium (63), Towards AI (19), AWS ML Blog (8). Data aggregated by Best AI News Today from 30+ sources.

196 stories
1 of 5 Top Stories
Media

What If Your Infrastructure Could Choose the Right LLM?

vLLM Semantic Router moves model selection out of application code and into a programmable routing layer that can reason about intent… Continue reading on Open Intelligence »

Medium · Dr. Fadi Shaar faviconMedium · Dr. Fadi Shaar·
How to Turn an Open-Weight LLM into a Jev-Style Decision Model (and When You Shouldn’t)
Media

How to Turn an Open-Weight LLM into a Jev-Style Decision Model (and When You Shouldn’t)

by Abdullah Mughees — A senior engineer’s breakdown of single-token LLM classification, the first-token trick, vLLM prefix sharing, and what the Jev hype…

Medium faviconMedium·
RelatedJev
Media

Serving Intelligence at Scale: A Deep Dive into vLLM, SGLang, and NVIDIA Dynamo

Why the hardest part of AI isn’t building the model — it’s answering millions of questions a second without going broke Continue reading on Medium »

Medium · Abinesh Siva Manikandan J R faviconMedium · Abinesh Siva Manikandan J R·
Media

Deploying LLMs in Production: vLLM vs. TGI vs. Ollama vs. AWS Bedrock

Performance, cost, and the operational stuff nobody puts in the benchmark charts. Continue reading on Medium »

Medium · Erwin Hermanto faviconMedium · Erwin Hermanto·
Media

vLLM Nədir? Böyük Dil Modellərinin (LLM) production mühitində səmərəli idarə edilməsi

Böyük Dil Modelləri (LLM) son illərdə süni intellekt sahəsində inqilabi dəyişikliklərə səbəb olmuşdur. Continue reading on ABB Data Portal »

Medium · Sanan Eminli faviconMedium · Sanan Eminli·
Media

VRAM usage doesn't decrease even with 4-bit quantization? What I learned from actual measurements with vLLM

"If you quantize a model to 4-bit, VRAM usage will be roughly 1/4"—this is a feeling you naturally develop when working with local LLMs. However, when I actually ran FP16, AWQ, and GPTQ on vLLM and...

note faviconnote·
Build real-time voice applications with vLLM-Omni on SageMaker AI – Part 1
Research

Build real-time voice applications with vLLM-Omni on SageMaker AI – Part 1

Deploy a text-to-speech model on Amazon SageMaker AI with the AWS vLLM-Omni Deep Learning Container and stream generated speech over a persistent bidirectional connection. This Part 1 tutorial...

AWS ML Blog faviconAWS ML Blog·
Continuous batching in vLLM & Preemption
Media

Continuous batching in vLLM & Preemption

I wrote these notes to help me understand vLLM better. I started with the question: when concurrency levels rise, where does throughput… Continue reading on Medium »

Medium · Prashant Dandriyal faviconMedium · Prashant Dandriyal·
Media

NVIDIA Triton vs vLLM, SGLang and Other Inference Servers: How to Choose

TechStock² faviconTechStock²·
Media

The LLM Inference Stack in 2026 — vLLM, SGLang, TensorRT-LLM, Semantic Routing, and the Combination…

The inference layer is no longer a solved problem. vLLM reached v0.28 in August 2026 with Apple Silicon support and 25K TPS/GPU. SGLang… Continue reading on Medium »

Medium · Charan Panthangi faviconMedium · Charan Panthangi·
Related Apple
Media

Google Antigravity SDK Adds Local AI Agents With Gemma 4 and LiteRT

Google Antigravity SDK now supports local AI agents through Gemma 4 and LiteRT, plus Ollama, LM Studio and vLLM for hybrid cloud-local coding.

Techgenyz faviconTechgenyz·
Media

Prefill on NVIDIA, Decode on AMD? 'Heterogeneous GPU Inference' with vLLM Appears in MLPerf

When it comes to GPUs for running LLMs,should you stick with NVIDIA?Should you stick with AMD?That is the kind of choice one tends to imagine.However, on September 21, 2026, Cisco unveiled a rather...

note faviconnote·
From LLM to “System 1”: How GLM-5.3-Flash Can Make Fast, Probabilistic Decisions
Media

From LLM to “System 1”: How GLM-5.3-Flash Can Make Fast, Probabilistic Decisions

by Sumit Verma — A practical look at turning a general-purpose LLM into a fast decision engine using token probabilities, constrained decoding, and vLLM

Medium faviconMedium·
Custom Models in Oh My Pi: vLLM, llama.cpp, SGLang and More
Discussions

Custom Models in Oh My Pi: vLLM, llama.cpp, SGLang and More

to r/LocalLLaMA

r/LocalLLaMA faviconr/LocalLLaMA·
Discussions

How do you use subagents & multiple agent with local models, and how many?

Running qwen3.8 27b nvfp4 on vllm at max context only gives around 8 agents with 32k context each. That doesnt seem like much; what use cases do people use multi-agent frameworks and find it helpful...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedQwen 3.8
Running a Jev-Style Decision Model on One TPU v6e: What Fits, What It Costs, and What Changes From…
Media

Running a Jev-Style Decision Model on One TPU v6e: What Fits, What It Costs, and What Changes From…

This article provides a step-by-step guide to running a Jev-style decision model on one Google Cloud TPU v6e chip with Gemma 4 and vLLM… Continue reading on Generative AI »

Medium · xbill faviconMedium · xbill·
Discussions

My local llm when I tell it to do any changes to my vLLM service

better make no mistakes I've been running Qwen 3.8 Flash Next and it's a great driver for Hermes and Pi. I told it to add CUDA_DISABLE_PERF_BOOST=1 to reduce my server's idle power draw

r/LocalLLaMA faviconr/LocalLLaMA·
Media

How vLLM Serves Thousands of Requests: PagedAttention and Continuous Batching

This post is for beginners. If you’ve read my KV cache post, you already know half of what you need. If you haven’t, don’t worry, I’ll… Continue reading on Medium »

Medium · AIwithMaha faviconMedium · AIwithMaha·

Frequently Asked Questions

What is vLLM?

vLLM is vLLM is an open-source, high-throughput inference and serving engine for large language models, originally developed at UC Berkeley.

Where can I access vLLM?

vLLM is available at https://github.com/vllm-project/vllm.

What is the latest news about vLLM?

As of today, there are 196 recent stories about vLLM. Recent headlines include: What If Your Infrastructure Could Choose the Right LLM?; Build real-time voice applications with vLLM-Omni on SageMaker AI – Part 1; From LLM to “System 1”: How GLM-5.3-Flash Can Make Fast, Probabilistic Decisions. This page is updated every 15 minutes.

Is vLLM open source?

Yes — vLLM is open source. The source code is publicly available, allowing developers to inspect, modify, and self-host.