Kubernetes For AI Workloads - What Works And What…Doesn’t, sponsored by Run:AI
Kubernetes has become the de-facto tool for orchestrating containerized workloads, and AI workloads are no different. But can an orchestrator built for services meet the needs of research experimentation? Can IT easily incorporate K8s into their AI workflows?
Join Guy Salton of Run:AI for a crash course in Kubernetes for AI. Learn what’s working, what’s not, and some fixes for supporting research environments with K8s.
In this webinar we will:
- Explain how and why Kubernetes became the top choice for AI workloads
- Learn how to train a deep learning model on Kubernetes and how to use GPUs as a team (demo)
- See where Kubernetes is challenged when it comes to AI and how Run:AI has learned to solve those challenges (demo)