Secure AI at Scale: Model Serving with Confidential AI Clean Rooms
In this era of breakneck advancements in AI, enterprises face the challenge of harnessing the power of AI, while safeguarding sensitive data and models. This webinar explores how Model Serving works with Confidential AI Clean Rooms to ensure that enterprise AI initiatives are secure, performant, and successful.
AI and ML systems have countless components, which may be vulnerable and hard to manage. Using an AI inference platform enables enterprise AI teams to build fast, secure, and scalable AI applications. By combining an AI inference platform with Confidential AI Clean Rooms, you can add the benefits of Confidential Computing, a revolutionary technology that provides a hardware root-of-trust and protects the entire system and all of its components.
Your models and data should reside within your cloud account with full visibility and control over the compute resources and network access. When the entire system is deployed in your own infrastructure, it ensures that data and models are never exposed to external access or third-party SaaS vendor risk.
Join Anjuna and BentoML to see practical strategies to protect AI processing and collaboration workflows. You will learn how enterprises can embrace AI innovation with resilience and confidence, unlocking new opportunities.
Resources
In this era of breakneck advancements in AI, enterprises face the challenge of harnessing the power of AI, while safeguarding sensitive data and models. This webinar explores how Model Serving works with Confidential AI Clean Rooms to ensure that enterprise AI initiatives are secure, performant, and successful.
AI and ML systems have countless components, which may be vulnerable and hard to manage. Using an AI inference platform enables enterprise AI teams to build fast, secure, and scalable AI applications. By combining an AI inference platform with Confidential AI Clean Rooms, you can add the benefits of Confidential Computing, a revolutionary technology that provides a hardware root-of-trust and protects the entire system and all of its components.
Your models and data should reside within your cloud account with full visibility and control over the compute resources and network access. When the entire system is deployed in your own infrastructure, it ensures that data and models are never exposed to external access or third-party SaaS vendor risk.
Join Anjuna and BentoML to see practical strategies to protect AI processing and collaboration workflows. You will learn how enterprises can embrace AI innovation with resilience and confidence, unlocking new opportunities.
