Rambus

COMPANY OVERVIEW

About Rambus

Rambus is a premier silicon IP and chip provider that makes data faster and safer.

Contact

https://www.rambus.com

More Info on Rambus

We are dedicated to delivering first-to-market, high-quality memory, SerDes, and embedded security solutions for our customers.

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.

Articles & News

Memory

Understanding Memory’s RowHammer Challenge

Nov. 7, 2024

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...

Ethernet

Going Beyond Ethernet: Securing Automotive Networks with MACsec

Aug. 16, 2024

As vehicles become more advanced, the need for increased security becomes a critical issue that MACsec looks to mitigate.

Machine Learning

Securing Data in the Quantum Era

Dec. 21, 2023

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?

Embedded

What’s the Difference Between HBM3 and HBM2E: A New Frontrunner

Feb. 1, 2023

As data centers push their high-performance-computing and AI/ML applications even harder, demand soars for more bandwidth and better efficiency. Enter HBM3.

Embedded

Dealing with Post-Quantum Cryptography Issues

Jan. 31, 2023

Quantum computing can address many difficult applications including cryptographic attacks that need to be mitigated.

Automotive

Automotive Safety and Security on the Road

Oct. 27, 2022

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...

Videos & Resources

Embedded

Quantum Computing and Crypto Standards

Oct. 19, 2022

Rambus's Security Technologies Fellow explains how new encryption standards will address the problem of quantum-computing attacks.

Rambus Hardware Security For Ai 1540x800

Hardware Security for AI Accelerators

March 2, 2021

Dedicated accelerator hardware for artificial intelligence and machine learning (AI/ML) algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators...

Security Verification Rambus Ro T 1540x800

Verifying Roots of Trust

March 2, 2021

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...

Rambus Security Anchored Hardware Ro T600 Series 1540x800

Security Anchored in Hardware

March 2, 2021

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...

All content from Rambus

Automotive

The Networking Challenges Confronting Autonomous Vehicles

May 10, 2022

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...

Test & Measurement

Achieving Vehicle Spatial Awareness Through Sensor Fusion

Feb. 16, 2022

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...

Embedded

CXL Ushers in a New Era of Data-Center Architecture

Oct. 13, 2021

The capabilities and promise of CXL 2.0 allow us to take data-center architecture and design to a new level.

Embedded

What’s the Difference Between DDR4 and DDR5?

Oct. 1, 2021

Increasing demand for memory is causing DDR4 to fall short of modern application needs, but DDR5 is poised to take performance to the next level.

Embedded

When Selecting Memory for AI, You Must Choose…Wisely

Sept. 3, 2021

AI places high demands on storage, so choosing the right memory architecture becomes a critical step in the design process.

Space Andrey Maslov Dreamstime L 88598556

Embedded

Are We Doomed to Repeat History? The Looming Quantum Computer Event Horizon

April 22, 2021

Quantum computers are fast becoming a reality—but as soon as they do, our trusted methods of encryption will immediately become inadequate.

Embedded

Memory for AI: Two Edges and a Roofline

March 12, 2021

In this third installment of the series, we examine the Roofline model as a method of assessing AI architectures’ compute performance and memory bandwidth.

Embedded

Memory for AI: The Need for Speed

March 5, 2021

In this second installment of the series, we examine AI deployment across the cloud and the acute need for high-performance memory.

Embedded

AI and the Virtuous Cycle of Unprecedented Data Management

Jan. 25, 2021

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...