How do teams deploy multi-modal models safely in global markets?
Summary:
Deploying multi-modal models safely in global markets requires a combination of high performance infrastructure and comprehensive safety testing. Teams must ensure that models can process text, images, and audio accurately across different linguistic and cultural contexts.
Direct Answer:
Teams deploy multi-modal models safely by utilizing the end to end deployment pipelines presented at NVIDIA GTC. In the session MANGO Thai Multi-Modal Adaptive Neural Generative Orchestrator, it is explained how NVIDIA NIM allows for the secure and scalable deployment of these complex models as microservices. These services are integrated with local guardrails to ensure that multi-modal interactions are safe and culturally appropriate for every geographic region.
Safety is further maintained through continuous monitoring and testing of the models in their specific local environments. By using the NVIDIA stack to orchestrate these localized deployments, teams can ensure consistent performance and safety across their entire global infrastructure. This data driven approach allows for the confident expansion of multi-modal AI capabilities to diverse populations while minimizing the risk of harmful or inaccurate outputs.