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Optimize LLMs for faster AI inference

Optimize LLMs for faster AI inference

Get fast, cost-efficient AI inference with vLLM and llm-d

Get fast, cost-efficient AI inference with vLLM and llm-d

Agentic AI vs. Foundation Models

Agentic AI vs. Foundation Models

[vLLM Office Hours #42] Deep Dive Into the vLLM CPU Offloading Connector – January 29, 2026

[vLLM Office Hours #42] Deep Dive Into the vLLM CPU Offloading Connector – January 29, 2026

[vLLM Office Hours #43] vLLM Triton Backend Deep Dive – February 12, 2026

[vLLM Office Hours #43] vLLM Triton Backend Deep Dive – February 12, 2026

Building Agentic AI apps with Model Context Protocol

Building Agentic AI apps with Model Context Protocol

Interactive: Agentic AI and MCP Servers ft. Cedric Clyburn & Rohan Venkatram (E6)

Interactive: Agentic AI and MCP Servers ft. Cedric Clyburn & Rohan Venkatram (E6)

In the Clouds (E50) | Clarity in Cloud Transformation ft. Bobby Allen

In the Clouds (E50) | Clarity in Cloud Transformation ft. Bobby Allen

Fine-tuning for better accuracy and lower LLM inference costs in 60 secs

Fine-tuning for better accuracy and lower LLM inference costs in 60 secs

[vLLM Office Hours #41] LLM Compressor Update & Case Study – January 22, 2026

[vLLM Office Hours #41] LLM Compressor Update & Case Study – January 22, 2026

RAG vs. Fine-Tuning: When to switch strategies

RAG vs. Fine-Tuning: When to switch strategies

GitOps Guide to the Galaxy (ep 100) | ArgoCD AI Assistant

GitOps Guide to the Galaxy (ep 100) | ArgoCD AI Assistant

Ask an OpenShift Expert | Ep 164 | GitHub (ARC) Actions Runner Controller

Ask an OpenShift Expert | Ep 164 | GitHub (ARC) Actions Runner Controller

How to simplify AI model fine-tuning

How to simplify AI model fine-tuning

What’s new and what’s next for Red Hat AI | Q1 2026

What’s new and what’s next for Red Hat AI | Q1 2026

Don’t automate stupid processes.

Don’t automate stupid processes.

Simplify your enterprise AI: Cisco, Red Hat AI Inference Server & RHEL 10

Simplify your enterprise AI: Cisco, Red Hat AI Inference Server & RHEL 10

Build production-ready RAG systems on Red Hat AI

Build production-ready RAG systems on Red Hat AI

Building on the outstanding performance of vLLM with llm-d

Building on the outstanding performance of vLLM with llm-d

[vLLM Office Hours #40] Intro to Speculators – January 15, 2026

[vLLM Office Hours #40] Intro to Speculators – January 15, 2026