vLLM is an open-source library for fast LLM inference and serving. It uses PagedAttention for efficient memory management, achieving 2-24x higher throughput than Hugging Face Transformers. It's the go-to tool for self-hosting LLMs in production.

When should I use vLLM?

Use vLLM when self-hosting LLMs and you need: high throughput, concurrent request handling, efficient GPU memory usage, or OpenAI-compatible API serving. It's ideal for production deployments where performance and cost matter.

How does vLLM compare to Ollama?

Ollama is for local/personal use (simple setup, model management). vLLM is for production serving (high throughput, batching, multi-GPU). Use Ollama for development and experimentation; use vLLM when serving models to multiple users at scale.

What is PagedAttention?

PagedAttention is vLLM's key innovation—it manages KV cache memory like virtual memory pages. This eliminates memory fragmentation, enables efficient batching of requests with different lengths, and dramatically improves GPU memory utilization.

How do I deploy vLLM?

Install via pip: `pip install vllm`. Start a server: `python -m vllm.entrypoints.openai.api_server --model meta-llama/Llama-3-8B`. This serves an OpenAI-compatible API. For production, use Docker and add load balancing for multiple GPUs.

What models does vLLM support?

vLLM supports most popular models: Llama, Mistral, Mixtral, Qwen, Falcon, MPT, and many more. Check their compatibility matrix for specific models. New popular models are usually supported within days of release.

Can vLLM use multiple GPUs?

Yes. vLLM supports tensor parallelism across multiple GPUs for large models that don't fit on one GPU. Use --tensor-parallel-size N to split the model. It also supports pipeline parallelism for even larger deployments.

Best vLLM Blogs & Articles in 2026

Deploy sovereign vision-language AI inference on Kubernetes with full GPU observability

blog.ovhcloud.com Apr 10, 2026

5.50/10 Low LLM Infrastructure/MLOps

🔧 vLLM, Prometheus, Grafana, DCGM Exporter, NGINX Ingress, kubectl, helm, OpenAI Python SDK

Blink removes CPU bottlenecks from LLM inference, boosting speed 8x

arxiv.org Apr 10, 2026

7.80/10 Medium LLM Inference Infrastructure

🔧 TensorRT-LLM, vLLM, SGLang, Blink

New routing method cuts LLM serving GPU costs by up to 42%

arxiv.org Apr 10, 2026

7.50/10 Medium LLM Inference Optimization

🔧 vLLM, PagedAttention

vLLM's new WRP framework unifies LLM inference optimization across 21 research directions

arxiv.org Apr 10, 2026

6.50/10 Low LLM Inference Optimization

🔧 vLLM Semantic Router

Why SFT isn't enough and how DPO and GRPO fix it

pub.towardsai.net Apr 8, 2026

6.50/10 Medium LLM Fine-Tuning and Alignment

🔧 DPO (Direct Preference Optimization), GRPO (Group Relative Policy Optimization), PPO (Proximal Policy Optimization), LoRA, QLoRA, vLLM, SGLang, LMDeploy

GLM-5.1: Open-weight 754B model beats GPT-5.4 and Claude Opus 4.6 at coding

marktechpost.com Apr 8, 2026

9.20/10 High Agentic AI Model Release

🔧 GLM-5.1, GLM-5, SGLang, vLLM, xLLM, Transformers, KTransformers, zai-sdk

Safetensors joins PyTorch Foundation to eliminate code execution risks in AI models

pytorch.org Apr 8, 2026

6.50/10 Medium AI Security & Open Source Infrastructure

🔧 Safetensors, DeepSpeed, Helion, Ray, vLLM, PyTorch, Hugging Face

Meta's Monarch framework turns any cluster into a programmable AI supercomputer via Python

pytorch.org Apr 8, 2026

7.20/10 Medium Distributed AI Training Infrastructure

🔧 Monarch, PyTorch, DataFusion, SkyPilot, VeRL, vLLM, VERL, Prometheus

Hermes Agent: open-source self-improving AI framework with 33K stars in two months

dev.to Apr 8, 2026

7.50/10 Medium AI Agent Frameworks

🔧 Hermes Agent, Ollama, vLLM, SGLang, OpenRouter, SQLite, Camoufox, Atropos RL

Empirical study reveals which KV cache framework wins under different LLM inference conditions

arxiv.org Apr 8, 2026

6.50/10 Medium LLM Inference Optimization

🔧 vLLM, InfiniGen, H2O

Photonic chip cuts LLM memory bandwidth needs 16x using light-speed block selection

dev.to Apr 7, 2026

7.20/10 Low AI Hardware / LLM Inference Optimization

🔧 vLLM PagedAttention, Quest, RetrievalAttention, Intel, TSMC, Samsung, AMD, OpenAI

China's GLM-5.1 open-source LLM works autonomously for 8 hours, beating GPT-5.4 and Claude Opus 4.6 on SWE-Bench Pro

venturebeat.com Apr 7, 2026

9.00/10 High Open Source LLM / Agentic AI

🔧 GLM-5.1, GLM-5, GLM-5 Turbo, vLLM, SGLang, xLLM, Claude Code, OpenCode

Google's Gemma 4 reclaims open-weight AI crown as Anthropic hits $30B revenue

pub.towardsai.net Apr 7, 2026

8.50/10 High Open-Weight AI Models

🔧 Gemma 4, Cursor 3, Veo 3.1 Lite, GLM-5V-Turbo, MAI-Transcribe-1, MAI-Voice-1, MAI-Image-2, Qwen 3.6-Plus

Meta's Helion joins PyTorch Foundation to make AI kernel development simpler and portable

pytorch.org Apr 7, 2026

6.50/10 Medium Open Source AI Infrastructure

🔧 Helion, PyTorch, DeepSpeed, Ray, vLLM, ExecuTorch, Triton, TileIR

PyTorch adds CuteDSL backend delivering up to 1.78x faster matrix multiplications for LLMs

pytorch.org Apr 7, 2026

7.20/10 Medium AI Infrastructure/Compiler Optimization

🔧 TorchInductor, CuteDSL, Triton, CUTLASS, cuBLAS, nvMatmulHeuristics, cutlass_api, torch.compile

Gemma 4 hits 2M downloads in a week as local AI threatens cloud subscriptions

latent.space Apr 7, 2026

8.50/10 High Open Source AI Model Deployment

🔧 Gemma 4, Gemma 3, Gemma 2, MLX, Ollama, OpenClaw, Hermes Agent, vLLM

The math on self-hosted vs. API LLMs: most healthcare orgs get it catastrophically wrong

pub.towardsai.net Apr 6, 2026

7.50/10 Medium LLM Infrastructure/Deployment

🔧 Azure OpenAI, OpenAI API, AWS Bedrock, vLLM, Docker, Nginx, Prometheus, Grafana

Lawyer builds 10x V100 AI server to automate legal work with local LLMs

reddit.com Apr 6, 2026

4.50/10 Low Local LLM Infrastructure

🔧 vLLM, Claude Code, llama.cpp, Ollama, bitsandbytes, TRITON_ATTN, NCCL, Reddit

FluxMoE boosts AI inference throughput 3x by streaming expert weights on demand

arxiv.org Apr 6, 2026

7.20/10 Medium LLM Inference Optimization

🔧 FluxMoE, vLLM

Developer successfully runs Gemma 4 26B quantized model locally using vLLM

reddit.com Apr 6, 2026

4.50/10 Low Local LLM Inference / Model Deployment

🔧 vLLM, Docker, PyTorch, CUDA, marlin backend, modelopt, transformers, Hugging Face

RTX 5090 runs Gemma 4 26B at 150 tokens/sec with 80ms latency

reddit.com Apr 6, 2026

5.50/10 Medium Local LLM Inference / AI Hardware

🔧 vLLM, gemma4-26b, Reddit, NVIDIA, Google

Qwen3.5 27B outperforms Gemma4 31B in local inference speed benchmarks

reddit.com Apr 5, 2026

4.50/10 Low Local LLM Inference Benchmarking

🔧 vLLM, vllm-gfx906-mobydick (AMD ROCm vLLM fork), Qwen3.5-27B-AWQ, gemma-4-31B-it-AWQ-4bit, Flash Attention Triton AMD, Docker, Hugging Face, Google (Gemma4)

Fix Qwen 3.5 agentic tool calling with these four critical bug workarounds

reddit.com Apr 5, 2026

5.50/10 Medium Local LLM Tool Calling / Agentic AI Infrastructure

🔧 Qwen 3.5, llama.cpp, Ollama, vLLM, LM Studio, Unsloth GGUFs, Pi coding agent, OpenAI-compatible clients

New 12-bit BF16 compression format delivers 1.47–2.93x LLM inference speedup

reddit.com Apr 4, 2026

7.20/10 Medium Model Compression / Inference Optimization

🔧 vLLM, Turbo-Lossless, ZipServ, ZipGEMM, GitHub, Reddit, NVIDIA, AMD

Gemma 4 launches Apache-licensed, Hermes Agent dominates, and AI agents hit cognitive limits

latent.space Apr 3, 2026

8.50/10 High Open Model Release & Agent Infrastructure

🔧 Gemma 4, Hermes Agent, OpenClaw, Claude Code, Codex, vLLM, llama.cpp, Ollama

Gemma 4 launches with Apache 2.0 license, but adoption hinges on ecosystem readiness

interconnects.ai Apr 3, 2026

7.20/10 Medium Open Source AI Models

🔧 vLLM, Transformers, SGLANG, Gemma 4, Gemma 3, Olmo Hybrid, Context-1, Composer 2

Google's Gemma 4 31B ties world's best open models with Apache 2.0 license

latent.space Apr 3, 2026

8.50/10 High Open Source AI Models

🔧 Gemma 4, llama.cpp, Ollama, vLLM, LM Studio, Transformers, transformers.js, Axolotl

IBM Fusion HCI enables scalable disaggregated LLM inference with measurable performance gains

pub.towardsai.net Apr 3, 2026

6.50/10 Medium LLM Inference Infrastructure

🔧 llm-d (LLM Disaggregated Inference), vLLM, KServe, Prometheus, Authorino, Limitador, Kuadrant, Gateway API

VoidLLM: a Go-based LLM proxy prioritizing privacy, speed, and simplicity over breadth

dev.to Apr 1, 2026

4.50/10 Low LLM Infrastructure/Proxy Gateway

🔧 VoidLLM, LiteLLM, vLLM, Vegeta, OpenAI SDK, SQLite, Kubernetes, Azure

Why your quantized LLM fails in production and how to fix it

pub.towardsai.net Apr 1, 2026

7.50/10 Medium LLM Quantization and Deployment

🔧 GPTQ, AWQ, GGUF, llama.cpp, Ollama, vLLM, TGI, bitsandbytes

CoDec kernel boosts LLM decode speed 1.9x with 120x less memory access

arxiv.org Mar 31, 2026

7.20/10 Medium LLM Inference Optimization

🔧 CoDec, FlashDecoding, vLLM

New Zig-based LLM engine runs 35B models on $550 AMD GPUs via Vulkan

reddit.com Mar 29, 2026

7.20/10 Medium LLM Inference Engine / Local AI / AMD GPU Support

🔧 ZINC, llama.cpp, vLLM, ROCm, Vulkan, GLSL, glslc, SPIR-V

Google's TurboQuant achieves 6x memory reduction, voice AI goes native and open

thesequence.substack.com Mar 29, 2026

8.20/10 Medium LLM Inference Efficiency & Voice AI

🔧 TurboQuant, PolarQuant, QJL, Gemini 3.1 Flash Live, Voxtral TTS, Search Live, Claude Computer Use, FinMCP-Bench

Nemotron 3 Super scores 55% on vLLM but only 40% on llama.cpp

reddit.com Mar 28, 2026

4.50/10 Low LLM Inference Backends

🔧 vLLM, llama.cpp, llama-server, koboldcpp, Reddit (LocalLlama), NVIDIA, Unsloth, OpenAI

Developer builds memory-efficient attention kernel enabling video generation on unsupported AMD GPUs

reddit.com Mar 28, 2026

7.20/10 Medium AI Hardware Optimization

🔧 noflash-attention, PyTorch, llama.cpp, ComfyUI, Flash Attention ROCm, AOTriton, Composable Kernel (CK), Triton

NVIDIA's ProRL Agent nearly doubles LLM performance by decoupling RL training infrastructure

marktechpost.com Mar 28, 2026

7.80/10 Medium Reinforcement Learning Infrastructure

🔧 ProRL Agent, vLLM, Singularity, SkyRL, VeRL-Tool, Agent Lightning, rLLM, GEM

Running a 397B AI model locally costs $20K but eliminates $2K monthly API bills

reddit.com Mar 26, 2026

7.20/10 Medium Local LLM Deployment / AI Hardware Comparison

🔧 vLLM, MLX, mlx-vlm, Qwen3.5 397B, Qwen3 Embedding 8B, Qwen3 Reranker 8B, Tailscale, Claude API

Engineers hit 1M tokens/second serving Qwen 27B on 96 B200 GPUs

reddit.com Mar 26, 2026

7.20/10 Medium LLM Inference Optimization

🔧 vLLM v0.18.0, Inference Gateway, MTP (Multi-Token Prediction), Google Kubernetes Engine (GKE), Google Cloud, Alibaba (Qwen)

Running Qwen 27B locally costs just $0.83 per million output tokens

reddit.com Mar 26, 2026

4.50/10 Low Local LLM Cost Benchmarking

🔧 vLLM, llama.cpp, Reddit (LocalLlama), Nvidia, Qwen

TurboQuant cuts LLM memory usage, enabling massive context windows on consumer hardware

reddit.com Mar 26, 2026

6.50/10 Medium LLM Inference Optimization

🔧 llama.cpp, MLX, vLLM, AnythingLLM, Metal, Reddit, Google, NVIDIA

Seven platforms that run enterprise AI with zero internet connectivity in 2026

dev.to Mar 26, 2026

7.20/10 Medium Air-Gapped AI Deployment

🔧 Ollama, vLLM, Harbor, Prometheus, Grafana, OpenTelemetry, Prem-Operator, oc-mirror

NVIDIA's NCCL EP unifies MoE communication for faster LLM training and inference

arxiv.org Mar 25, 2026

6.50/10 Low AI Infrastructure / Distributed Computing

🔧 NCCL EP, DeepEP, Hybrid-EP, vLLM, NCCL Device API, NVIDIA

Paged Attention cuts LLM GPU memory waste from 75% to just 1.5%

marktechpost.com Mar 24, 2026

6.50/10 Medium LLM Inference Optimization

🔧 vLLM, NumPy, Matplotlib

Sberbank releases massive 702B open-weights AI model beating DeepSeek and Qwen

reddit.com Mar 24, 2026

7.80/10 Medium Open Source AI Models

🔧 GigaChat-3.1-Ultra, GigaChat-3.1-Lightning, vLLM, BFCLv3, MMLU, HumanEval, HuggingFace, Habr

Two env vars eliminate PyTorch memory leaks, cutting RSS from 7GB to 1.2GB

reddit.com Mar 24, 2026

7.20/10 Medium AI Infrastructure / Memory Optimization

🔧 PyTorch, vLLM, TGI (Text Generation Inference), Triton, FastAPI, SDXL, Flux, PixArt

Liquid AI's LFM2 solves on-device AI memory bottleneck with hybrid convolution-attention architecture

artificialintelligencemadesimple.com Mar 24, 2026

8.50/10 Medium On-Device AI / Edge AI Architecture

🔧 LFM2, STAR (Synthesis of Tailored Architectures), Llama 3.2 1B, Mamba, SnapKV, PagedAttention (vLLM), llama.cpp, ExecuTorch

FlashAttention-4 hits 1,613 TFLOPs/s, making attention as fast as matrix multiplication

reddit.com Mar 24, 2026

8.20/10 Medium AI Hardware Optimization / LLM Inference

🔧 FlashAttention-4, FlashAttention-2, vLLM, PyTorch FlexAttention, CuTe-DSL, Triton, cuDNN, Reddit

Three-layer LLM optimization cuts inference costs 70% while tripling throughput

dev.to Mar 23, 2026

7.00/10 Medium LLM Inference Optimization

🔧 DeepSeek-R1, Ollama, vLLM, Redis Cluster, OpenTelemetry, Prometheus, Grafana, LangChain Cache

Run NVIDIA's 120B AI model locally on a single unified-memory laptop

reddit.com Mar 22, 2026

6.50/10 Medium Local LLM Deployment

🔧 llama.cpp, vLLM, ROCm, huggingface-cli, GGUF Q4_K_M, Hugging Face, NVIDIA, AMD

On-prem vs. proxy vs. hybrid: which LLM deployment architecture keeps enterprises compliant

pub.towardsai.net Mar 22, 2026

6.50/10 Medium Enterprise LLM Deployment Architecture

🔧 vLLM, Ollama, llama.cpp, Questa AI, NVIDIA

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