Turning Bare Metal into AI Powerhouses: Deploy, Scale, and Run Smarter
Details
๐ Important:
Please register here to join the webinar! We will host this webinar in BrightTalk.
๐ Overview:
Deploying GPU inference workloads can be a complex and fragile process. Manual service installation, dependency management, and configuration errors often slow down teams and delay results. These challenges create friction for operators who want to move fast and scale AI applications efficiently.
This 20-minute webinar, led by Mirantisโ Anjelica Ambrosio, shows how k0rdent AI streamlines GPU inference deployment using templates and automation. You will see how pre-built templates, automated dependency provisioning, and seamless run:ai integration simplify every stage from setup to production, transforming GPU management into a fast, reliable, and repeatable process.
What youโll learn:
- Why GPU inference workloads are difficult to deploy and manage
- How k0rdent AI uses templates to automate installation and configuration
- How run:ai integration and dependency automation accelerate deployment
- How to transform manual GPU workflows into scalable, production-ready infrastructure
If you are a Platform Engineer, DevOps professional, or IT leader responsible for enabling AI infrastructure, this session gives you a clear path to deploy and scale GPU inference with confidence.
๐ Register here
๐ก Location: Online (youโll get the link once you register)
โฐ Date/Time: Nov 24th (Mon) at 9 am PT / 12 pm ET / 6 pm CET
๐๐ป Speaker: Anjelica Ambrosio, Product Marketing Specialist
