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Rambus Design Summit 2026

Solution Category Data Security
Type Conference
Organization Rambus
Event Format Online
Size 101 - 300 approximate delegates
Registration Not Free
SPEAKING OPPORTUNITIES

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Conference Description

Key Takeaways

  • Virtual summit exploring hardware foundations for agentic AI systems, including memory, interconnect and security technologies
  • Addresses performance bottlenecks, data integrity and secure deployment challenges in autonomous AI workloads
  • Designed for hardware architects, system designers, security engineers and AI infrastructure decision-makers
  • Hosted by Rambus, focusing on next-generation memory and interconnect architectures

About the Event

The Rambus Design Summit 2026 is a virtual summit examining the hardware and security requirements for autonomous AI systems. The event focuses on how memory solutions, interconnect technologies and security architectures work together to enable agentic AI, where systems operate with greater autonomy and self-direction.

Rambus hosts the summit to present technical sessions and keynotes on the infrastructure challenges facing organizations building or deploying autonomous intelligence capabilities.

Memory, Interconnect and Security for Autonomous AI

The summit positions memory and interconnect architectures as foundational elements for advanced AI applications. As AI systems become more autonomous, they require faster data movement, higher bandwidth memory and lower latency interconnects to function effectively. The event explores how these hardware components must evolve to meet the demands of agentic AI workloads.

Security receives particular attention as autonomous AI introduces new threat vectors. The summit addresses how organizations can protect AI workloads, maintain data integrity and secure the infrastructure supporting self-directed systems. This includes examining security at the hardware level rather than relying solely on software-based protections.

Technical Challenges Addressed

The event targets several practical problems facing AI infrastructure teams. Performance bottlenecks in memory and data movement can limit AI system capabilities, particularly as models and workloads scale. Ensuring data integrity across complex AI pipelines presents ongoing challenges, while securing autonomous systems against emerging threats requires new approaches at the hardware level.

Who Should Attend

The Rambus Design Summit 2026 targets technology professionals working on AI infrastructure. This includes hardware architects designing systems for AI workloads, system designers integrating memory and interconnect solutions, and security engineers responsible for protecting AI deployments. Product managers and executives from semiconductor companies, AI startups, enterprise IT departments and research organizations will find relevant content on the technical requirements and business considerations for autonomous AI infrastructure.