Red Hat OpenShift AI
Flexible and Scalable AI/ML Platform:
Model Deployment and Management:
Simplify deployment and lifecycle management, continuous updates and improvements to fraud detection algorithms.
Red Hat OpenShift AI is for enterprises to build and deploy AI-enabled applications across hybrid cloud environments. With open-source technologies, consistent and reliable capabilities for teams to experiment, serve models, and deliver innovative applications at scale. OpenShift AI reduces AI infrastructure management by offering on-demand access to resources.
The platform offers flexibility across hybrid cloud environments as self-managed software or a fully managed cloud service on top of OpenShift, allowing model development and deployment on-premises, in the public cloud, or at the edge.
Applications and Collaboration: 
Scalability and Performance:
Robust and scalable, massive data volumes, complex computations, real-time fraud detection.
Red Hat OpenShift AI supports various applications, including building and serving AI-enabled apps, integrating tools for retrieval-augmented generation (RAG), and experimenting with large language models (LLMs). It fosters collaboration among data scientists, engineers, and application developers, promoting consistency, security, and scalability. The platform supports data acquisition and preparation, model training and fine-tuning, model serving and monitoring, and hardware acceleration.