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WEBINAR "Developing Agents using MCP Servers with Truefoundry"

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WEBINAR "Developing Agents using MCP Servers with Truefoundry"

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Pre-Registration is REQUIRED. Here - https://hubs.ly/Q03y3wSj0

Join us for an electrifying Virtual Agentic AI session that's absolutely FREE for all our amazing community members! Want to see what else is in store? Check out the full summit schedule here: https://lu.ma/h5rlpmqo
- Use the coupon code COMMUNITY2025 for an exclusive 20% discount on other summit passes

Speaker: Abhishek Choudhary, Co-founder and CTO at TrueFoundry

As generative AI transforms from experimental proof-of-concepts to mission-critical enterprise applications, organizations face an emerging challenge: managing the complexity of distributed AI systems at scale. With over 50% of enterprises now running AI in production and 15% scaling across multiple teams, the days of simple single-model deployments are behind us.

Modern AI applications have evolved into sophisticated, autonomous agent systems that orchestrate multiple models, invoke diverse tools, and span hybrid cloud infrastructures. This evolution has created a perfect storm of operational challenges: inconsistent APIs across providers, frequent model outages, unpredictable latency, complex rate limiting, and mounting governance requirements. Without centralized control, organizations struggle with vendor lock-in, compliance gaps, runaway costs, and fragmented observability.

This session introduces the AI Gateway pattern—a critical architectural component that serves as the central control plane for enterprise AI ecosystems. We'll explore how AI gateways solve real-world challenges through unified API abstraction, intelligent failover mechanisms, semantic caching, centralized guardrails, and granular cost controls. You'll learn practical architectural patterns for building high-availability gateways that handle thousands of concurrent requests while maintaining sub-millisecond decision-making through in-memory operations.

We'll dive deep into the technical architecture, covering separation of control and data planes, asynchronous logging patterns, and horizontal scaling strategies. The session will also look ahead to emerging patterns like Model Context Protocol (MCP) integration, where gateways will manage not just model access but entire tool ecosystems, enabling natural language automation across enterprise software.

Whether you're an architect planning your AI infrastructure, a platform engineer managing multi-model deployments, or a technical leader navigating AI governance challenges, this session provides actionable insights for building resilient, scalable AI systems. You'll leave with concrete patterns, architectural blueprints, and a roadmap for implementing centralized AI control planes that grow with your organization's AI maturity.

Key takeaways include gateway design principles, performance optimization strategies, multi-provider management patterns, and a practical framework for evaluating AI infrastructure needs in your organization.

Some useful links:
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