Inside Modern GenAI Systems Why your stack needs a gateway operating layer

Generative AI systems are evolving rapidly, but most enterprise stacks still lack a unified operating layer. This session breaks down why an AI Gateway is becoming the backbone of modern GenAI infrastructure—enabling reliable scaling, fine-grained control, and seamless model interoperability. Learn how this new layer powers observability, governance, and performance across complex multi-model and multi-cloud environments.

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1. From chaos to control: How AI Gateways unify fragmented GenAI environments—standardizing APIs, managing authentication, and preventing vendor lock-in across models and frameworks.
2. Building resilient GenAI systems: Strategies to handle rate limits, fallbacks, caching, and latency optimization to ensure reliability at enterprise scale.
3. The future of orchestration: A deep dive into the architectural principles defining the next generation of AI infrastructure—covering routing intelligence, semantic caching, and integration with protocols like MCP to connect agents, models, and enterprise tools seamlessly.