MCP Protocol Is Changing Everything | The Secret Behind Scalable AI Agents #MCP #AiAgent #LLM Let's take an in depth look at vLLM vLLM is an open source framework for Large Language model inference. It specifically focuses
Deploying vLLM: a Step-by-Step Guide Never Install DeepSeek r1 Locally before Watching This! Which Local Coding LLM is Best?
Learn how to easily install vLLM and locally serve powerful AI models on your own GPU! Buy Me a Coffee to support the vLLM - Turbo Charge your LLM Inference Blog post: Github: Docs: Alibaba has introduced Qwen3, a new open-weight family of models featuring two MoE (Mixture-of-Experts) variants and six
In this video, we go over how you can fine-tune Llama 3.1 and run it locally on your machine using Ollama! We use the open vLLM and Ray cluster to start LLM on multiple servers with multiple GPUs vLLM: AI Server with Higher Throughput
What is vLLM & How do I Serve Llama 3.1 With It? LLM Deployment with vLLM. In the rapidly evolving landscape of This video shows how to run huggingface transformer based models with vllm for large scale. Buy Me a Coffee to support the
The Ultimate Local AI Coding Guide (2026 Is Already Here) From the Open WebUI folder, run this at least once to build the project: docker compose -f docker-compose.yaml -f docker-compose.gpu.yaml up -d Your Self-Hosted Chatbot Just Went Viral—Can It Handle the Traffic?
vLLM on Kubernetes in Production OLLAMA VS VLLM VS LLAMA.CPP | WHICH CLOUD-BASED MODEL IS RIGHT FOR YOU? (2025) vllm-project/vllm: A high-throughput and memory-efficient - GitHub
Scaling LLMs at Apple: Ray Serve + vLLM Deep Dive | Ray Summit 2025 At Ray Summit 2025, Deepak Chandramouli, Rehan Durrani, and Ankur Goenka from Apple share how they built an internal,
How to run Deepseek OCR on Cloud GPU? (Hands-on Deepseek OCR Tutorial) How we optimized AI cost using vLLM and k8s (Clip) vLLM Inference on AMD GPUs with ROCm is so Smooth!
In this video, we compare Ollama and vLLM to help you choose the most efficient solution for deploying language models. vLLM is a fast and easy-to-use library for LLM inference and serving. In this video, we go through the basics of vLLM, how to run it vLLM - Turbo Charge your LLM Inference
[2025/11] We hosted vLLM Bangkok Meetup. We explored vLLM and LMCache inference and low-resource language adaptation with speakers from Embedded LLM, AMD, and Timestamps: 00:00 - Intro 01:24 - Technical Demo 09:48 - Results 11:02 - Intermission 11:57 - Considerations 15:48 - Conclusion
In this video, we explore the powerful vLLM library, your go-to solution for hosting large language models (LLMs) efficiently and This video shows how to start (inference) large language models (LLMs) like DeepSeek-R1 on multiple computers (servers) with Go Production: ⚡️ Super FAST LLM (API) Serving with vLLM !!!
For more information, or to buy a NVIDIA DGX Spark: Code: Simon Mo on vLLM: Easy, Fast, and Cost-Effective LLM Serving for Everyone
Ollama vs VLLM | Best Cloud-Based Model Server in 2025? Deploying LLMs on your infrastructure? It's Ollama vs VLLM in 2025. Step By Step Instructions in Medium Blog Post Enabling Tool Calling with vLLM to Build Agentic Applications on Amazon SageMaker
The M4 Mac Mini and the M4 Pro Mac Mini is poised to change the balance of laptop vs desktop. Run Windows on a Mac FREE vLLM can be deployed as a server that implements the OpenAI API protocol. This allows vLLM to be used as a drop-in replacement for applications using OpenAI API
mlx vs ollama on m4 max macbook pro Serve Any Hugging Face Model with vLLM: Hands-on Tutorial
Ready to serve your large language models faster, more efficiently, and at a lower cost? Discover how vLLM, a high-throughput Ollama vs VLLM: Efficient Language Model Deployment All You Need To Know About Running LLMs Locally
Usage - litellm.completion (calling OpenAI compatible endpoint) · model="hosted_vllm/
vLLM is designed for those who want to host their large language models on GPUs, which is essential for high-throughput, parallel processing, VLLM is one of the most widely used serving platforms for LLMs. It's also very easy to get started with. Check it out if you are
Can you deploy your LLM ? Vllm vs TGI vs Triton | Which Open Source Library is BETTER in 2025?
m4 mac mini power draw is negligible This is the stack that gets me over 4000 tokens per second locally. Download Docker Desktop here: to THIS is the REAL DEAL 🤯 for local LLMs
Vllm vs TGI vs Triton | Which Open Source Library is BETTER in 2025? Join us as we delve into the world of VLLM, TGI, and Triton Set Up Your Own LLM Server at Home | Run Local AI Models with Ollama + NVIDIA DGX Spark Everything in Ollama is Local, Right?? #llm #localai #ollama
Serving Online Inference with vLLM API on Vast.ai Instant Cloud Hosting for vLLM : r/LLMDevs What is vLLM? Efficient AI Inference for Large Language Models
vLLM: AI Server with 3.5x Higher Throughput Never Install DeepSeek r1 Locally before Watching This! #shorts #deepseek iPhone 16 Pro Runs 8B AI Model?! DeepSeek-R1
shorts. Join Simon Mo, a PhD student at Berkeley Sky Computing Lab, and Co-leader of the vLLM project as he shares insights at AMD Discover how NanoVLLM, the groundbreaking open-source AI inference engine, is reshaping the world of LLM deployment!
FREE Local AI Engineer Starter Kit: ⚡ Master AI and become a high-paid AI Engineer: Optimize Your AI - Quantization Explained
OpenSauced removes the pain of finding projects to contribute to. We are now working with companies to share the secret sauce Accelerating LLM Inference with vLLM
Self hosting your own LLM ChatGPT-like vllm Ollama infrastructure cost breakdown. Setup in 6hrs Run A Local LLM Across Multiple Computers! (vLLM Distributed Inference) Instant Cloud Hosting for vLLM. Discussion. Hi r/LLMDevs,. beam.cloud is a platform for running serverless apps on GPUs in the cloud. We
VLLM | liteLLM Optimize LLM inference with vLLM vLLM on the other hand works with safetensors or binary PyTorch files. By default, it uses the default precision of the model, e.g. mistralai/
RTX4080 SUPER giveaway! Sign-up for NVIDIA's GTC2024: Giveaway participation link: Deploying vLLM: a Step-by-Step Guide (to host your own ChatGPT
If you have read any of my previous articles you will see that more often than not I try and self-host my infrastructure (because as a In this video we explore enabling tool calling via vLLM and the LMI Container on Amazon SageMaker. In future videos we explore Deploying vLLM: a Step-by-Step Guide : r/LLMDevs
LLMs are powerful—but they hit a wall when it comes to real-world actions. That's where MCP (Model Context Protocol) comes in. How-to Install vLLM and Serve AI Models Locally – Step by Step Easy Guide
Hosting internally (and by internal, I mean inside our established AWS VPC) we bypass those issues and I can develop and iterate and build I ran through the above guide to setup vLLM on Google Cloud Platform with two Run massive AI models on your laptop! Learn the secrets of LLM quantization and how q2, q4, and q8 settings in Ollama can save
VLLM: A widely used inference and serving engine for LLMs EASIEST Way to Fine-Tune a LLM and Use It With Ollama People who are confused to what vLLM is this is the right video. Watch me go through vLLM, exploring what it is and how to use it
vLLM vs NanoVLLM ⚡ Fast LLM Inference Battle! Which AI Engine Wins? Moving from Ollama to vLLM: Finding Stability for High-Throughput
Forget vLLM? Meet NanoVLLM - The Next Big Thing in AI Inference! 🔥 Self-hosting Large Language Models is attractive for many corporations. Once you start however, the available options can be How to Choose LLM Infrastructure when Self Hosting (ollama, vLLM, paperspace, deepseek, gemma)
In this video, I will show you how to deploy serverless vLLM on RunPod, step-by-step. Key Takeaways: ✓ Set up your Get ready for a speed showdown! In this video, we compare two powerful open-source AI inference engines: vLLM and
vLLM server to use such model: Copy python -m vllm.entrypoints.openai.api_server \ --host 0.0.0.0 --port 80 \ --model google/gemma-2b vLLM is an open-source highly performant engine for LLM inference and serving developed at UC Berkeley. vLLM has been
There are 3 exceptions to everything staying local. Ollama vs VLLM | Best Cloud-Based Model Server in 2025? Quickstart - vLLM
Deploy LLMs using Serverless vLLM on RunPod in 5 Minutes In this video I am going to show you a detailed comparison of Ollama vs vLLM vs Llama.cpp to help you choose the right
In this walkthrough, we start small—serving a single user—then crank up the heat with load tests simulating 10, 200, and 1500 Setup vLLM with T4 GPU in Google Cloud Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam
Running large language models locally sounds simple, until you realize your GPU is busy but barely efficient. Every request feels What are the economics of buidling your own server and serving language models? How about older hardware. How fast can be A100 40GB vLLM Benchmark: Cheap GPU for Gemma3 12B-14B Hosting
The Best Self-Hosted AI Tools You Can Actually Run in Your Home Lab AI Coding BATTLE | Which Open Source Model is BEST? Join My Newsletter for Regular AI
Sign up here - Coupon Code - 1littlecoder-ds-ocr (Validity 2 weeks) Qwen3 has a major problem
Host a Model with vllm for RAG - Models - Hugging Face Forums Today we learn about vLLM, a Python library that allows for easy and fast deployment and inference of LLMs.
vLLM is a fast and easy-to-use library for LLM inference Engine and serving. vLLM is fast with: State-of-the-art serving throughput In this video, I walk you through the best self-hosted AI tools you can actually run in your home lab. From Ollama and OpenWebUI In this video, we dive into the world of hosting large language models (LLMs) using VLLM , focusing on how to effectively utilise
vLLM: Introduction and easy deploying