High Bandwidth Memory (HBM) has revolutionized AI, machine learning, and High-Performance Computing by significantly increasing data transfer speeds and alleviating performance bottlenecks. The introduction of next-generation HBM4 is especially transformative, enabling faster training and execution of complex AI models. JEDEC has announced that the HBM4 specification is nearing finalization. In this webinar, you will learn how Siemens’s scalable and customizable Avery HBM Verification IP helps companies like Rambus verify their industry-leading HBM4 Controller IP through rigorous testing to ensure reliability and performance.
Silicon IP for Automotive Solution Brief
Rambus Silicon IP solutions enable customers to navigate the delicate balance between achieving new levels of performance and automation, while meeting the safety and security requirements unique to the automotive industry.
Creating a Secure Infrastructure for Advanced AI Workloads
Bart Stevens, Senior Director of Product Marketing for Security IP, explores the security challenges of AI inference processing in both cloud-based data centers and edge devices in this webinar.
From Training to Inference: HBM, GDDR & LPDDR Memory
Join Nidish Kamath, director of product management for Rambus Memory Controller IP, as he dives into the HBM, GDDR, and LPDDR solutions that address AI training and inference workload requirements in this webinar.
Navigating the Dynamics of IP Licensing for Data Center & AI
Raj Uppala, Senior Director of Marketing and Partnerships at Rambus, explores the complexities of IP licensing for emerging data center and AI applications.
Why PCIe and CXL are Critical Interconnects for the AI Era
Join Lou Ternullo, Senior Director of IP Product Management at Rambus, as he discusses the critical role of PCIe and CXL interconnects in enabling the AI-driven data centers of tomorrow in this on-demand webinar.
