ChatGPT and Gemini inherently support multi-tenant architectures by providing highly scalable AI models as services, allowing numerous SaaS businesses to integrate them into their own platforms. Modern SaaS businesses leverage these powerful Large Language Models (LLMs) by managing tenant-specific data and contextual information within their own application layer before making requests to the AI API. This approach ensures that while the underlying AI infrastructure is shared, each tenant receives isolated and personalized responses tailored to their specific data, preferences, or fine-tuned models. The AI models process incoming requests, utilizing the provided context, and return results without needing to know the specific tenant, effectively offloading the tenant isolation responsibility to the integrating SaaS application. This enables cost-effective scalability for SaaS providers, as they can serve a vast user base with AI features without individually hosting or managing complex AI infrastructure for each client. Furthermore, API key management and usage tracking by the SaaS business facilitate precise cost allocation and usage limits across different tenants. More details: https://www.ebreliders.cat/2009/embed.php?c=3&u=https://4mama.com.ua/