LLM inference - aitoearn

n8n templates

n8n Template Collection: Build Automation Apps Efficiently | Open Source Daily No.771

awesome-n8n-templates: A Collection of Automation Templates for n8n awesome-n8n-templates is an open-source project that collects and organizes numerous n8n automation templates, enabling users to quickly connect and automate workflows across apps like Gmail, Telegram, Google Drive, and Slack. It provides ready-to-use automation scenarios to improve productivity with minimal setup. Repository:

vLLM

In-Depth Analysis: Unpacking the Secrets Behind vLLM’s High-Throughput Inference System

Introduction In today's fast-paced development of large model applications, both research and industry focus on improving inference speed and efficiency. vLLM has emerged as a high-performance inference framework, optimized for large language model (LLM) inference. It enhances throughput and response speed without compromising accuracy through innovations in: * GPU

LLM inference

Decoupling Large Language Models: The Next Evolution of AI Infrastructure

# Disaggregated LLM Inference: Breaking the Bottlenecks in AI Infrastructure Artificial intelligence models are evolving **at an accelerating pace**, yet infrastructure has lagged behind. As large language models (LLMs) grow from simple chatbot tools to enterprise-scale solutions, **traditional monolithic server architectures are becoming a major bottleneck**. **Disaggregation**—splitting different stages of