In this episode, we ask Red Hat about the platform requirements for AI applications in production. What makes AI applications special and how does this change the infrastructure required to support these? The demand for flexibility, scalability, and distribution seems to match the capabilities of a hybrid cloud, and this is emerging as the preferred model for AI infrastructure. Red Hat is supporting the container-centric hybrid cloud with OpenShift, and containers are also critical to AI workloads. Red Hat has production customers in healthcare, manufacturing, and financial industries deploying ML workloads in production right now.
Episode Hosts and Guests
Abhinav Joshi, Senior Manager, Product Marketing, OpenShift Business Unit, Red Hat. Find Abhinav on Twitter at @Abhinav_Joshi.
Tushar Katarki, Senior Manager, Product Management, OpenShift Business Unit, Red Hat. Find Tushar on Twitter at @TKatarki.
Chris Grundemann is the Managing Director at Grundemann Technology Solutions. You can connect with Chris on LinkedIn and on X/Twitter or visit his website to learn more.
Stephen Foskett, Organizer of the Tech Field Day Event Series, part of The Futurum Group. Find Stephen’s writing at GestaltIT.com, on Twitter at @SFoskett, or on Mastodon at @[email protected].