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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 […]
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.
In an era where vehicles are becoming increasingly interconnected and software-driven, cybersecurity is paramount. Rambus, a leader in high-performance chip and silicon IP that move data faster and safer, has been recognized for its groundbreaking contributions to automotive cybersecurity receiving the prestigious “Automotive Cybersecurity Innovation Of The Year” accolade at the 2024 AutoTech Breakthrough Awards. […]
https://youtu.be/Qa3Jl27oje0?si=FrrNkmWmTbrjv0UE Bart Stevens, Senior Director of Product Marketing for Security IP, discusses the security challenges of AI inference processing in both cloud-based data centers and edge devices. He emphasizes the need for robust security measures to protect valuable AI models and sensitive data across various deployment environments. He covers essential cryptographic principles, confidential computing, and […]
https://youtu.be/_uKCEry_nh8?si=nxu8fa4mQsok7E3t Scott Best, Senior Director of Anti-Tamper Technology at Rambus, discusses the security challenges associated with AI chips and their growing deployment at the edge. Best highlights the similarities between AI chips and FPGAs, particularly in their vulnerability to attacks on valuable firmware assets, such as neural net models and RTL. He explores the importance […]
https://youtu.be/0igemAwBsxc?si=w5btmjWGV8qqlMKk Nidish Kamath, director of product management for Rambus Memory Controller IP, discusses the company’s HBM, GDDR, and LPDDR solutions that address AI training and inference workload requirements. Nidish explains the differences between AI training and inference, highlighting the unique compute and memory needs of each. He will delve into the architectural innovations of HBM, […]
https://youtu.be/_DBcfqzZmZ4?si=0kQKgPujt_tX2TUV Raj Uppala, Senior Director of Marketing and Partnerships at Rambus, explores the complexities of IP licensing for emerging data center and AI applications. He discusses the growing demand for specialized IP components such as memory controllers, security solutions, and high-performance interfaces driven by the rise of AI accelerators and SoCs. Raj highlights the key […]
https://youtu.be/KFZems0sDlE?si=iBqcv47-oGp7DCe_ Lou Ternullo, Senior Director of IP Product Management at Rambus, discusses the critical role of PCIe and CXL interconnects in enabling the AI-driven data centers of tomorrow. He explores the challenges of traditional server setups, such as inefficiencies in resource allocation, over-provisioning, and data replication, and presents disaggregation as a solution to improve cost-efficiency […]
Carlos Weissenberg, Product Marketing Manager for Memory Interface Chips at Rambus, discusses the increasing demands for memory driven by AI and high-performance computing. Carlos will explain the innovations incorporated in DDR5 memory modules, such as the dual-channel architecture and improved power management, designed to meet the growing memory requirements of data center servers. He will […]
In this roundtable discussion, memory experts Steve Woo, John Eble, and Nidish Kamath explore the critical role of memory in AI applications. They discuss how AI’s rapid evolution, especially with the growth of large language models, is driving the need for higher memory capacity, bandwidth, and power efficiency.
