In today’s cars, the Ethernet standard is the go-to solution for connecting zonal gateways to the central compute units that handle ADAS functionality. However, in-vehicle networks are vulnerable to a number of security threats, including eavesdropping, denial-of-service attacks, man-in-the middle attacks, and unauthorized access. This white paper explores how MACsec provides an effective solution to address the security challenges faced by automotive Ethernet networks and how Rambus MACsec IP solutions can be deployed across a range of use cases.
Papers
Protecting Data and Devices Now and in the Quantum Computing Era
Quantum computing is being pursued across industry, government and academia with tremendous energy and is set to become a reality in the not-so-distant future. Once sufficiently large quantum computers exist, traditional asymmetric cryptographic methods for key exchange and digital signatures will be broken. Many initiatives have been launched throughout the world to develop and deploy new quantum-resistant cryptographic algorithms, known as Post-Quantum Cryptography (PQC).
RT-600 Root of Trust Series: A New Generation of Security Anchored in Hardware
This latest generation of the Rambus RT-600 Root of Trust IP offers many new features designed to support the security needs of customers today and into the future. These features include Quantum Safe Cryptography, Caliptra Root of Trust for Measurement (RoTM) emulation, an embedded physical unclonable function (PUF), as well as many architectural improvements, such as larger memory space and 64-bit addressing support.
Revolutionizing the Datacenter with CXL
This IDC Technology Spotlight Study, sponsored by Rambus, discusses how today’s datacenter infrastructure is more important than ever and is the foundation for the digital economy. Whether it’s serving up data to stream on our digital devices, gathering data for analysis to gain further insights, or storing data at the right place, datacenters are the hub of our data-driven world for both businesses and consumers alike.
From Data Center to End Device: AI/ML Inferencing with GDDR6
Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inferencing. As inferencing migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be increasingly important. The latest iteration of the standard, GDDR6 memory, pushes data rates to 18 gigabits per second and device bandwidths to 72 gigabytes per second.
HBM3 and GDDR6: Memory Solutions for AI
AI/ML changes everything, impacting every industry and touching the lives of everyone. With AI training sets growing at a pace of 10X per year, memory bandwidth is a critical area of focus as we move into the next era of computing and enable this continued growth. AI training and inference have unique feature requirements that can be served by tailored memory solutions. Learn how HBM3 and GDDR6 provide the high performance demanded by the next wave of AI applications.
