At Rambus, we create cutting-edge semiconductor and IP products, providing industry-leading chips and silicon IP to make data faster and safer.
Found 1117 Results
Design Failure Mode and Effects Analysis (DFMEA)
https://www.rambus.com/chip-interface-ip-glossary/dfmea/Design Failure Mode and Effects Analysis (DFMEA) Table of Contents Definition How it Works Features Benefits Enabling Technologies Rambus Technologies What Design Failure Mode and Effects Analysis (DFMEA)? Design Failure Mode and Effects Analysis (DFMEA) is a structured risk management methodology used in semiconductor design to proactively identify potential failure modes in integrated circuits (ICs), […]
Silicon IP for the Final Frontier
https://www.rambus.com/blogs/silicon-ip-for-the-final-frontier/Like their terrestrial counterparts, space-based systems benefit from the greater computing power achieved through semiconductor scaling. However, chips for spacecraft must be radiation hardened (RH) to operate in the rigors of space, and there is considerable time and effort required to develop and qualify rad-hardened devices on a given process node. The BAE Systems RH45® nanometer (nm) node has long been the go-to solution for space-based computing, but the industry is now on the verge of […]
Data Bus Inversion (DBI)
https://www.rambus.com/chip-interface-ip-glossary/dbi/Data Bus Inversion (DBI) Table of Contents What is DBI? How DBI works What are the key features of DBI? What are the benefits of DBI? Enabling Technologies Rambus Technologies and DBI What is DBI? Data Bus Inversion (DBI) is a signal encoding technique used in high-speed digital interfaces to reduce power consumption and improve […]
Scaling AI Infrastructure with PCIe 7 and CXL 3
https://event.on24.com/wcc/r/5051048/9DDC583F5FEB476AB8DF5CF39F634FB7#new_tabInterconnect technologies are key to scaling AI workloads across data center infrastructure. Learn how PCIe 7 and CXL 3 enable high-speed, low-latency connectivity for memory expansion and composable architectures in AI systems.
Memory IP for AI Accelerators: HBM4, LPDDR5, and GDDR7
https://event.on24.com/wcc/r/5051047/1951C72D6ABB0828FD16915C7DFF5279#new_tabAI accelerators require high-performance memory IP to meet bandwidth, capacity and latency requirements. This session dives into Rambus IP solutions for HBM4, LPDDR5, and GDDR7, highlighting their role in powering next-gen AI silicon.
How AI is Shaping the Memory Market
https://event.on24.com/wcc/r/5051045/2BE50C4E73B38BBEF853AFA6D1778604#new_tabJoin Rambus experts for a dynamic roundtable discussion on the latest trends in the memory market. Topics include AI-driven demand, enabling technologies, and the future of memory innovation across computing segments.
Memory Interface Chip Solutions for PC Clients and AI
https://event.on24.com/wcc/r/5051055/779B1F67589803A20D1004F3648D5F6C#new_tabAI is increasingly moving to the edge, and PC clients are evolving to support intelligent applications. This session showcases Rambus memory chip solutions optimized for client platforms, enabling responsive AI experiences with performant memory architectures.
Memory Interface Chip Solutions for Servers and AI in the Data Center
https://event.on24.com/wcc/r/5051041/46A5495531C5222065C15E9B6488D667#new_tabExplore Rambus memory chip solutions designed for server platforms and AI workloads in the data center. This session covers performance, power efficiency, and scalability features that meet the demands of next-generation AI training and inference environments.
35 Years of Memory Innovation for AI
https://event.on24.com/wcc/r/5047305/7731855E52B458BF97C0300896B86DEC#new_tabIn this keynote, Dr. Steve Woo reflects on the 35-year journey of Rambus and the evolution of memory technology that has culminated in today’s AI-driven computing landscape. From early innovations to modern high-bandwidth architectures, this session highlights how memory has become a foundational enabler of artificial intelligence.
High Bandwidth Memory (HBM): Everything You Need to Know
https://www.rambus.com/blogs/hbm3-everything-you-need-to-know/[Updated on October 30, 2025] In an era where data-intensive applications, from AI and machine learning to high-performance computing (HPC) and gaming, are pushing the limits of traditional memory architectures, High Bandwidth Memory (HBM) has emerged as a high-performance, power-efficient solution. As industries demand faster, higher throughput processing, understanding HBM’s architecture, benefits, and evolving role […]
