AI Gateway vs API Gateway - What's the difference
Blog post from Portkey
API gateways have long been essential tools for managing web traffic, routing API calls, and ensuring basic security for traditional web applications and microservices. However, the rise of AI applications, specifically those involving large language models (LLMs), has necessitated the development of AI gateways, which are designed to address the unique challenges of AI workloads. Unlike traditional API gateways, AI gateways optimize interactions between applications and AI services by handling tasks such as monitoring model responses, enforcing safety and compliance rules, caching responses to reduce costs, and managing prompt variations across different LLM providers. AI gateways become particularly valuable in scenarios where organizations are running LLMs at scale, require strict compliance and security measures, or need to control API costs efficiently. For companies integrating AI into their core business operations, AI gateways offer tailored infrastructure that supports scalable, secure, and cost-effective management of LLM traffic, distinguishing them from conventional API gateways focused on HTTP routing and authentication.
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