Found 928 Results

HiPEAC Tech Transfer Award Highlights DRAMSys4.0 Collaboration

https://www.rambus.com/blogs/hipeac-tech-transfer-award-highlights-dramsys4-0-collaboration/

HiPEAC, a European network of almost 2,000 world-class computing systems researchers, named Matthias Jung (Fraunhofer IESE), Lukas Steiner, and Norbert Wehn (TUK) as winners of the prestigious Tech Transfer Award for their work on DRAMSys4.0. With an ongoing collaboration with Fraunhofer IESE on DRAMSys4.0, Rambus salutes the award recipients. “The work Fraunhofer IESE had done […]

Three Top Semiconductor Tech Trends for 2021

https://www.rambus.com/blogs/three-top-semiconductor-tech-trends-for-2021/

As a momentous 2020 fades into the history books, 2021 is expected to be a year of growth and evolution for the semiconductor industry across multiple market segments. Firstly, DDR5 DRAM is slated to enter volume production by the end of 2021, with initial deployments targeting hyperscale data centers. Secondly, AI/ML neural networks – which […]

2020 was a Wild Ride

https://www.rambus.com/blogs/2020-was-a-wild-ride/

The onset of the COVID-19 pandemic cast a global shadow of uncertainty across multiple markets, including the semiconductor industry. Concerns were initially raised over the reliability of critical silicon supply chains, as well as a dip in demand. Fortunately, both concerns have been assuaged by booming chip sales and shipments, along with $110 billion of […]

Protocol-IP-338 High-speed XTS-GCM Multi-stream Engine

https://www.rambus.com/security/crypto-accelerator-hardware-cores/protocol-ip-338/

Security Protocol-IP-338 High-speed XTS-GCM Multi-stream Engine The Protocol-IP-338 (EIP-338) is a scalable, high-performance, multi-stream cryptographic engine that offers XTS and GCM modes of operation for the AES algorithms on bulk data. Its flexible data path is suitable to scale from 50 Gbps to 2 Tbps providing a tailored engine with minimal area for your application. […]

The Ultimate Guide to HBM2E Implementation & Selection

https://www.rambus.com/blogs/hbm2e/

This is the most comprehensive guide to selecting and implementing a HBM2E memory IP interface solution. Recently, Frank Ferro and Joseph Rodriguez, Senior Directors Product Management at Rambus, hosted a webinar in our virtual Design Summit discussing about HBM2 and HBM2E memory technology. There’s a lot of decisions that need to be made when you’re […]

Root of Trust for FPGAs

https://www.rambus.com/security/root-of-trust/root-of-trust-for-fpgas/

Security Root of Trust for FPGAs FPGAs (Field Programmable Gate Arrays) are widely used in industries such as Defense, Telecommunications, Automotive and AI/ML (Artificial Intelligence/Machine Learning) because of their reconfigurability and flexibility. Whether functioning as the essential building blocks of avionics and spacecraft systems, controlling ADAS (Advanced Driver Assisted Systems) systems, or assisting inference workloads […]

AI Drives Memory Interconnect Evolution

https://www.eetimes.com/ai-drives-memory-interconnect-evolution/#new_tab

TORONTO — Location, location, location is not a mantra limited to real estate. To meet the needs of artificial intelligence (AI) and machine learning applications, it increasingly applies to where data needs to reside, and the memory that stores it.

Rambus Reports Third Quarter 2020 Financial Results

https://www.rambus.com/third-quarter-2020-financial-results/

Strong quarter, delivering on revenue, exceeding expectations for profit and generating $44.1 million in cash provided by operating activities Memory interface chip quarterly revenue up 39% year over year; on track for over 50% full-year growth Micron DRAM license extended for an additional 4 years New stock repurchase program authorizes repurchase of 20 million shares […]

Protocol-IP-63 Multi-channel AES-GCM Engine

https://www.rambus.com/security/crypto-accelerator-hardware-cores/protocol-ip-63/

Security Protocol-IP-63 Multi-channel AES-GCM Engine The Protocol-IP-63 (EIP-63) is a scalable high-performance, multi-channel cryptographic engine that offers AES-GCM operations as well as AES-CTR and GMAC on bulk data. Its flexible data path is suitable to scale from 100 Gbps to 2.4 Tbps to provide a tailored engine with minimal area for your application. The FIFO-like […]

How Bandwidth is Key to Unlocking Greater AI Performance

https://go.rambus.com/how-bandwidth-is-key-to-unlocking-greater-ai-performance-webinar#new_tab

Rambus fellow and distinguished inventor, Dr. Steven Woo, explores the latest developments in AI/ML training and inference. AI/ML performance is advancing at an astonishing rate thanks to purpose-built AI accelerators. Dr. Woo discusses how emerging memory and system interfaces are key to providing the bandwidth needed for the next generation of AI/ML hardware.