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Deep Dive into High-Performance Communication Mechanisms and Their Security for AI Workloads – MCP, A2A, RDMA

Tue, Oct 14

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Webinar access link will be sent via email

Explore how MCP, A2A, and RDMA power secure, high-performance communication for AI workloads. Learn the technical foundations and security strategies essential for large-scale, distributed AI systems.

Deep Dive into High-Performance Communication Mechanisms and Their Security for AI Workloads – MCP, A2A, RDMA
Deep Dive into High-Performance Communication Mechanisms and Their Security for AI Workloads – MCP, A2A, RDMA

Time & Location

Oct 14, 2025, 5:00 PM – 7:00 PM PDT

Webinar access link will be sent via email

About the Event

Abstract


As distributed and AI-driven systems evolve, secure, high-performance communication is critical. This talk explores three foundational technologies: Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and Remote Direct Memory Access (RDMA). MCP provides structured, secure context-sharing between AI models, while A2A enables direct, real-time coordination between intelligent agents. RDMA boosts performance by enabling ultra-fast memory-to-memory data transfers across nodes. These technologies are essential for responsive, large-scale AI systems but also raise concerns around data integrity, privacy, and access control. This session delves into their technical underpinnings and outlines strategies to ensure robust, secure communication in AI-centric distributed environments.


Speaker Bio


Sahil Kaw is a Senior Engineering Manager at Oracle Cloud Infrastructure (OCI), where he leads global initiatives in AI/ML infrastructure, large-scale telemetry systems, and GPU data center deployments. With over a decade of experience in cloud architecture, security, and distributed systems, Sahil has built and scaled engineering teams and platforms…


Tickets

  • General Admission

    $0.00

Total

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