Rambus


COMPANY OVERVIEW

About Rambus

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

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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

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Security risks with DRAM
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...
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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.
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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?
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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.
Anatoly Stojko | Dreamstime.com
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Dealing with Post-Quantum Cryptography Issues

Jan. 31, 2023
Quantum computing can address many difficult applications including cryptographic attacks that need to be mitigated.
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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

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Automotive

How to Overcome Autonomous-Vehicle Networking Challenges

Oct. 27, 2022
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,...
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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.
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White Paper

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...
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White Paper

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...
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White Paper

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

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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...
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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...
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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.
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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.
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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.
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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.
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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.
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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.
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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...