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Uber eyes an AI future

https://www.rambus.com/blogs/uber-eyes-an-ai-future/

Rick Merritt of the EE Times recently reported that Uber is using banks of Nvidia GPUs for deep learning applications. The transportation network company (TNC) is also testing FPGAs from multiple startups such as Eyeris, Graphcore and Wave Computing. In addition, Uber maintains a dedicated AI research team that oversees more than a dozen deep-learning models […]

IDC White Paper Lays Out Future of Memories and Interfaces

https://www.rambus.com/blogs/idc-white-paper-lays-out-future-of-memories-and-interfaces/

A recently published IDC white paper calls attention to the growing significance of chip connectivity.  Entitled, “Hidden Signals: The Memories and Interfaces Enabling IoT, 5G, and AI,” the paper states that data created by electronic systems will grow 10x to 103 zettabytes between 2014 to 2023.  Moreover, it says the average server will support over […]

HBM2 gets an upgrade as semiconductor industry eyes HBM3

https://www.rambus.com/blogs/hbm2-gets-an-upgrade-as-semiconductor-industry-eyes-hbm3/

JEDEC recently updated its JESD235 High Bandwidth Memory (HBM) DRAM standard. As we’ve previously discussed on Rambus Press, HBM DRAM supports a wide range of use cases and verticals including graphics (GPUs), high performance computing (HPC), servers, networking and client applications. Indeed, HBM is particularly suitable for hardware that demands peak bandwidth, bandwidth per watt […]

Cryptojacking and How it Works

https://www.rambus.com/blogs/cryptojacking-and-how-it-works/

As the new frontier for technology, blockchain has shown plenty of promise. However, in the realm of cryptocurrencies, there have been several high profile attacks and heists that have brought the security of exchanging and holding cryptocurrencies into question. In the rush for acquiring cryptocurrencies, some users have taken to building machines dedicated to mining […]

Rambus and IBM design hybrid memory system architectures

https://www.rambus.com/blogs/rambus-ibm-design-hybrid-memory-system-architectures/

Higher capacity in server memory subsystems Rambus and the IBM Server Group (IBM SG) are currently researching hybrid memory systems. Targeting one of the industry’s key performance challenges, Rambus Labs and IBM SG are working to optimize DRAM and emerging memories to create a high-capacity memory subsystem that delivers comparable performance to DRAM. In this […]

Beyond pixels and shaders: Non-graphical uses for GDDR6

https://www.rambus.com/blogs/beyond-pixels-shaders-non-graphical-uses-gddr6/

Graphics Double Data Rate (GDDR) memory is a type of synchronous graphics random-access memory (SGRAM) with a high-speed interface. First available in 2007, the previous generation of GDDR, GDDR5, has evolved well beyond its expected lifecycle to meet the needs of the industry. Nevertheless, GDDR5 has reached its apex, and a successor, GDDR6, was published […]

Taking a closer look at the Rambus GDDR6 PHY IP Core

https://www.rambus.com/blogs/taking-closer-look-rambus-gddr6-phy-ip-core/

Once targeted exclusively at GPUs, GDDR use cases are rapidly expanding beyond traditional GPU and graphic applications. This is primarily due to the demand for increased bandwidth across a diverse set of market verticals – including the data center and automotive sector. GGDR6 can help meet that demand. Bandwidth and SI challenges More specifically, DDR4 currently […]

Understanding the post Moore-Era data center

https://www.rambus.com/blogs/understanding-post-moore-era-data-center/

Steven Woo, the vice president of systems and solutions and distinguished inventor in Rambus’ Office of the CTO, recently authored an article for Semiconductor Engineering that explores the data center in 2018 and beyond. As Woo observes, there are a number of trends that continue to challenge the design of conventional von Neumann architecture, including […]

Going beyond GPUs with GDDR6

https://www.rambus.com/blogs/going-beyond-gpus-gddr6/

The origins of GDDR The origins of modern graphics double data rate (GDDR) memory can be traced back to GDDR3 SDRAM. Designed by ATI Technologies, GDDR3 made its first appearance in nVidia’s GeForce FX 5700 Ultra card which debuted in 2004. Offering reduced latency and high bandwidth for GPUs, GDDR3 was followed by GDDR4, GDDR5, […]

Introducing the Rambus GDDR6 Memory PHY

https://www.rambus.com/blogs/introducing-rambus-gddr6-memory-phy/

The Rambus GDDR6 Memory PHY IP Core Rambus has officially announced its GDDR6 (Graphics Double Data Rate) Memory PHY IP Core. According to Luc Seraphin, SVP and general manager of the Rambus Memory and Interfaces Division, the PHY is targeted at a number of high-performance applications including cryptocurrency mining, artificial intelligence (AI), ADAS (advanced driver […]

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