The Missing Piece in Scalable AI Inference
Skills:
Systems Design Basics80%
Key Takeaways
Discusses the importance of AI gateways for deploying and managing AI models as APIs, with Traefik Labs and Akamai Cloud
Original Description
Sudeep Goswami discusses how Traefik Labs runs AI models on Akamai Cloud. In this talk, you'll learn why AI gateways are becoming essential for deploying and managing AI models as APIs, and how they’re solving real-world challenges in scalability, cost-efficiency, versioning, and responsible AI governance.
Sudeep walks through:
- The rise of AI inference over training
- The explosion of AI APIs and the need for robust API management
- Semantic caching and its role in performance and cost optimization
- ContentGuard for enterprise-grade responsible AI policies
- Real-world demos including sentiment analysis and chat completions with security and efficiency features in action
Learn more about how Traefik's AI Gateway integrates with LKE to optimize AI workloads on Akamai Cloud, delivering intelligent traffic management, streamlined model serving, and real-time request routing: https://ow.ly/PiuC50VORmb
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