#
DIFF.BLOG
New
Following
Discover
Jobs
More
Top Writers
Suggest a blog
Upvotes plugin
Report bug
Contact
About
Sign up
The home for great developer writing.
We surface the best developer writing from thousands of independent blogs, updated daily.
Join Diff.blog
TOPICS
How to Scale LLM Inference for AI Agents Using vLLM
25
·
freeCodeCamp.org
·
Aug. 17, 2026, 11:48 p.m.
AI
Agentic AI
vllm
AI agents
LLM Inference
AI agents
GPU Scheduling
vllm
Summary
This tutorial explains how to effectively scale LLM (large language model) inference for AI agents using vLLM. It covers the intuitive workings of LLM inference and discusses GPU scheduling challenges posed by agent workloads.
Read full post on www.freecodecamp.org →
MORE POSTS LIKE THIS
vLLM with torch.compile: Efficient LLM inference on PyTorch
Red Hat ·
Sep 3, 2025
torch.compile
vllm
How to Customize an LLM for AI Agents using SFT and QLoRA
freeCodeCamp.org ·
Aug 7, 2026
AI
AI agents
Agent platform (Part 1): How we help Grab build and run AI agents at scale
Grab ·
Jul 24, 2026
engineering
Generative AI
Data-Native AI Agents: Why Agents Must Move to Your Data
Mooncake ·
Jul 15, 2026
Databricks AI
Data Strategy
Where AI Agents Belong in Data Engineering: The Correctness Layer
Simon Späti ·
Jul 7, 2026
AI agents
data engineering
Achieving Near-Linear Training Scalability for Pinterest’s Foundation Models
Pinterest ·
Jun 25, 2026
Machine Learning
pinterest
Discover more posts →
AUTHOR
RECENT POSTS FROM THE AUTHOR
Choose how you want to continue.
Continue with GitHub
Continue with Google