Kevin Klues

From foundation model to hosted AI solution in minutes

What if you could build a custom AI on your own data with a single API call? Learn how to deploy powerful foundation models in minutes.

From foundation model to hosted AI solution in minutes
#1about 3 minutes

Introducing the IONOS AI Model Hub for easy inference

The IONOS AI Model Hub provides a simple REST API for accessing open-source foundation models and a vector database for RAG.

#2about 1 minute

Exploring the curated open-source foundation models available

The platform offers leading open-source models like Meta Llama 3 for English, Mistral for European languages, and Stable Diffusion XL for image generation.

#3about 7 minutes

How to implement RAG with a single API call

Retrieval-Augmented Generation (RAG) is simplified by abstracting vector database lookups and prompt augmentation into one API request using collection IDs and queries.

#4about 1 minute

Building end-to-end AI solutions in European data centers

Combine the AI Model Hub with IONOS Managed Kubernetes to build and deploy full AI applications within German data centers for data sovereignty.

#5about 3 minutes

Enabling direct GPU access within managed Kubernetes

The NVIDIA GPU Operator will enable direct consumption of GPU resources within IONOS Managed Kubernetes by automatically installing necessary drivers and components.

#6about 3 minutes

Deploying custom inference workloads with NVIDIA NIMs

Use the GPU Operator to request GPUs in a pod spec and deploy NVIDIA Inference Microservices (NIMs) to run custom, containerized AI models on your own infrastructure.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

Building an open source community around AI models
04:28 MIN

Building an open source community around AI models

AI in the Open and in Browsers - Tarek Ziadé

Using Chrome's built-in AI for on-device features
06:44 MIN

Using Chrome's built-in AI for on-device features

Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3

AI lawsuits, code flagging, and self-driving subscriptions
01:02 MIN

AI lawsuits, code flagging, and self-driving subscriptions

Fake or News: Self-Driving Cars on Subscription, Crypto Attacks Rising and Working While You Sleep - Théodore Lefèvre

The shift to on-device AI models in smartphones
00:48 MIN

The shift to on-device AI models in smartphones

Fake or News: Coding on a Phone, Emotional Support Toasters, ChatGPT Weddings and more - Anselm Hannemann

The hardware requirements for running LLMs locally
03:55 MIN

The hardware requirements for running LLMs locally

AI in the Open and in Browsers - Tarek Ziadé

How AI is changing the freelance developer experience
09:10 MIN

How AI is changing the freelance developer experience

WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More

The strategic value of hiring freelancers in the AI era
07:03 MIN

The strategic value of hiring freelancers in the AI era

WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More

Exploring the role and ethics of AI in gaming
14:06 MIN

Exploring the role and ethics of AI in gaming

Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3

Featured Partners

Related Videos

See all videos
Your Next AI Needs 10,000 GPUs. Now What?29:52

Your Next AI Needs 10,000 GPUs. Now What?

Anshul Jindal & Martin Piercy

Open Source AI, To Foundation Models and Beyond31:05

Open Source AI, To Foundation Models and Beyond

Ankit Patel, Matt White, Philipp Schmid, Lucie-Aimée Kaffee & Andreas Blattmann

Supercharge your cloud-native applications with Generative AI32:13

Supercharge your cloud-native applications with Generative AI

Cedric Clyburn

A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes32:19

A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes

Kevin Klues

Efficient deployment and inference of GPU-accelerated LLMs​23:01

Efficient deployment and inference of GPU-accelerated LLMs​

Adolf Hohl

Developer Experience, Platform Engineering and AI powered Apps31:38

Developer Experience, Platform Engineering and AI powered Apps

Ignacio Riesgo & Natale Vinto

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA22:07

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA

Ankit Patel

Bringing AI Everywhere26:25

Bringing AI Everywhere

Stephan Gillich

Related Articles

View all articles
CH
Chris Heilmann
With AIs wide open - WeAreDevelopers at All Things Open 2025
Last week our VP of Developer Relations, Chris Heilmann, flew to Raleigh, North Carolina to present at All Things Open . An excellent event he had spoken at a few times in the past and this being the “Lucky 13” edition, he didn’t hesitate to come and...
With AIs wide open - WeAreDevelopers at All Things Open 2025
DC
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
In the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a recent session titled "Bringing AI Everywhere," sheddi...
Stephan Gillich - Bringing AI Everywhere

From learning to earning

Jobs that call for the skills explored in this talk.