Видео с ютуба Llm Serving

What is vLLM? Efficient AI Inference for Large Language Models

Fast LLM Serving with vLLM and PagedAttention

How to Efficiently Serve an LLM?

Running Deepseek-R1 671B without a GPU

Deep Dive: Optimizing LLM inference

Run Your Own LLM on a Server - Ollama + Gemma 3

Освоение vLLM на практическом примере

Inference Is the Bottleneck Now: How to Architect LLM Serving in 2026 (vLLM, GPUs, Decentralized)

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

LLM serving with SGLang TPU

🔍 AI Serving Frameworks Explained: vLLM vs TensorRT-LLM vs Ray Serve | Which One Should You Use?

Обучение и запуск LLM в Kubernetes: руководство для начинающих — Абдель Сгиуар

vLLM: простое, быстрое и недорогое обучение LLM для всех — Саймон Мо, vLLM

How to Serve Big LLM over Decentralized GPUs? | Parallax + Dynamic Programming

Run Local LLMs on Hardware from $50 to $50,000 - We Test and Compare!

NSDI '26 - JITServe: SLO-aware LLM Serving with Imprecise Request Information

LLM Serving: The 4 Hard Truths No One Tells You

15: 11 Production LLM Serving Engines (vLLM vs TGI vs Ollama)

Serving PyTorch LLMs at Scale: Disaggregated Inference With Kubernetes and Llm-d - M. Ayoub & C. Liu