Model-as-a-Service: Manage model inferencing at scale

As AI adoption accelerates, managing multiple models across departments and users remains a challenge. Model-as-a-Service (MaaS) helps address this by enabling organizations to deploy pre-trained AI models as scalable services, accessible via API gateways on hybrid cloud platforms.

Join this session to learn how to implement a MaaS platform using Red Hat OpenShift® and Red at OpenShift AI. Our experts will show you how to:

• Ensure the right users and teams have secure access to the models they need
• Enable multitenancy, allowing teams to work independently in secure, isolated environments on a shared platform
• Easily scale the platform to meet growing model usage and user demand