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Throughout our 30-year history, Rambus has led the industry with innovations and IP solutions that solve the fundamental challenges faced by leading-edge computing systems. We have done so by predicting and addressing the major disruptions in technology development, building a portfolio of foundational IP and offering solutions that enhance the performance and security of the most demanding applications.
Leveraging our semiconductor expertise, Rambus solutions speed performance, expand capacity and improve security. From data center and edge to artificial intelligence and automotive, our interface and security IP, and memory interface chips enable SoC and system designers to deliver their vision of the future.
This three-part series looks at issues facing designers of autonomous vehicles trying to reach level 5 autonomy, in terms of effectively implementing a sensor-fusion platform,...
Dedicated accelerator hardware for artificial intelligence and machine learning (AI/ML) algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators...
Built around a custom 32-bit CPU, the Rambus Root of Trust (RT-600 series) is at the forefront of a new category of programmable hardware-based security cores. Siloed from the...
The confidentiality and integrity of cryptographic key material is critical to maintaining system security. A hardware root of trust is designed to securely generate, store, and...
The DRAM industry has long been plagued by the security risk of RowHammering, and mitigation techniques have done little to stop attackers. But a new approach to remapping DRAM...
The quantum-computing market size is expected to grow 11X by 2030. So, how do we safeguard our equipment and data now from these post-quantum era threats?
As data centers push their high-performance-computing and AI/ML applications even harder, demand soars for more bandwidth and better efficiency. Enter HBM3.
As automotive SoCs become more complex, it can be challenging for automotive hardware suppliers to address the safety and security aspects independently. Still, engineers must...
Like the human brain, computers tasked with driving vehicles need to make split-second decisions to deal with unanticipated circumstances, and even small delays can have catastrophic...
To reach Level 5 autonomy, autonomous vehicles will rely on sensor fusion to provide the immense amount of data needed for spatial awareness. Currently, two architectures stand...
In this third installment of the series, we examine the Roofline model as a method of assessing AI architectures’ compute performance and memory bandwidth.
This is the first article in a four-part series that examines how new AI architectures are leading to a renaissance in computer architecture, and why there’s a renewed focus on...
