Simplify AI delivery and unlock real value from your infrastructure investments with Red Hat's guide to Models-as-a-Service (MaaS). Learn how to streamline internal AI operations, enhance security focus, and manage costs.
Many organizations begin their AI journey by connecting to commercial LLM application programming interfaces (APIs) such as those from OpenAI or Anthropic, assuming it is the fastest way to production. But as use grows, costs increase, and teams encounter limitations around data privacy, observability, and customization. And in some cases, commercial AI providers make changes to models with little advance warning, disrupting organizations’ business uses.
