Looking to optimize your AI usage costs and enhance security by self-hosting your LLMs? It’s now much easier to do with Kaito!

In this webinar, we will explore how you can self-host and fine-tune large language models (LLMs) within a Kubernetes environment using KAITO. We will show the benefits of leveraging Kubernetes for scalable and efficient model deployment, and demonstrate how KAITO simplifies the orchestration and management of LLMs. Attendees will gain insights into the practical steps involved in setting up a self-hosted LLM, customizing it to meet specific needs, and optimizing performance. This session is ideal for technical specialists and platform engineers looking to enhance their AI capabilities with robust and flexible infrastructure solutions.

What you will learn:

• Why Kubernetes is great for LLM hosting.
• What new challenges LLMs present to Kubernetes admins.
• How KAITO makes all this easier.
• How to run LLM fine-tuning and inference on your own clusters.

Who should attend:

• DevOps and Platform Engineers
• ML/AI engineers possessing an operational mindset.
• Open Source enthusiasts.
• CTOs and Architects evaluating LLM self-hosting.
  

.