Bringing AI and HPC Workloads to the Cloud-Native World of Kubernetes
DescriptionKubernetes has become the de-facto tool for orchestrating containerized workloads, and AI workloads are no different. But can an orchestrator built for long-running (micro)-services meet the needs of research experimentation and simulations? Can IT easily incorporate K8s into their AI & HPC workflows?
Join Gijsbert Janssen van Doorn of Run:ai for a crash course in Kubernetes for AI & HPC. Learn what’s working, what’s not, and some fixes for supporting these demanding environments with K8s.
In this session we will:
- Explain how and why Kubernetes is the top choice for AI & HPC workloads
- See where Kubernetes is challenged when it comes to AI & HPC workloads
- See how using GPUs instead of CPUs can accelerate your development cycles
Join Gijsbert Janssen van Doorn of Run:ai for a crash course in Kubernetes for AI & HPC. Learn what’s working, what’s not, and some fixes for supporting these demanding environments with K8s.
In this session we will:
- Explain how and why Kubernetes is the top choice for AI & HPC workloads
- See where Kubernetes is challenged when it comes to AI & HPC workloads
- See how using GPUs instead of CPUs can accelerate your development cycles
Event Type
Exhibitor Forum
TimeThursday, 17 November 20223:30pm - 4pm CST
LocationD171
TP
XO/EX
Recorded
Presenter