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IBM sees enterprise customers are using ‘everything’ when it comes to AI, the challenge is matching the LLM to the right use case
Real-world deployment patterns show customers using multiple AI models simultaneously, forcing a fundamental shift in enterprise AI architecture.
IBM’s response to this market reality is a newly released model gateway that provides enterprises with a single API to switch between different LLMs while maintaining observability and governance across all deployments. The technical architecture allows customers to run open-source models on their own inference stack for sensitive use cases while simultaneously accessing public APIs like AWS Bedrock or Google Cloud’s Gemini for less critical applications. Architect for multi-model flexibility: Rather than committing to single AI providers, enterprises need integration platforms that enable switching between models based on use case requirements while maintaining governance standards.
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