tag: Rambus

Designing Resilient Electronics
By Ann Mutschler - 18 Mar, 2020 - Comments: 0

Electronic systems in automobiles, airplanes and other industrial applications are becoming increasingly sophisticated and complex, required to perform an expanding list of functions while also becoming smaller and lighter. As a result, pressure is growing to design extremely high-performance chips with lower energy consumption and less sensitivity to harsh environmental conditions. If this ... » read more

HBM Issues In AI Systems
By Brian Bailey - 16 Mar, 2020 - Comments: 0

All systems face limitations, and as one limitation is removed, another is revealed that had remained hidden. It is highly likely that this game of Whac-A-Mole will play out in AI systems that employ high-bandwidth memory (HBM). Most systems are limited by memory bandwidth. Compute systems in general have maintained an increase in memory interface performance that barely matches the gains in... » read more

HBM2E Memory: A Perfect Fit For AI/ML Training
By Frank Ferro - 12 Mar, 2020 - Comments: 0

Artificial Intelligence/Machine Learning (AI/ML) growth proceeds at a lightning pace. In the past eight years, AI training capabilities have jumped by a factor of 300,000 (10X annually), driving rapid improvements in every aspect of computing hardware and software. Memory bandwidth is one such critical area of focus enabling the continued growth of AI. Introduced in 2013, High Bandwidth Memo... » read more

Power Management Becomes Top Issue Everywhere
By Ann Mutschler - 12 Mar, 2020 - Comments: 1

Power management is becoming a bigger challenge across a wide variety of applications, from consumer products such as televisions and set-top-boxes to large data centers, where the cost of cooling server racks to offset the impact of thermal dissipation can be enormous. Several years ago, low-power design was largely relegated to mobile devices that were dependent on a battery. Since then, i... » read more

Blog Review: Mar. 11
By Jesse Allen - 11 Mar, 2020 - Comments: 0

Rambus' Steven Woo examines how the upcoming deployment of 5G will enable processing at the edge, and how the edge is getting refined further into the near edge and the far edge with a range of AI solutions across it. A Synopsys writer explains the types of Compute Express Link devices and CXL's unique verification challenges like maintaining the cache coherency between a host CPU and an acc... » read more

5G And AI Raise Security Risks For IoT Devices
By Rambus - 11 Mar, 2020 - Comments: 0

This IDC Technology Spotlight, sponsored by Rambus, highlights the fifth generation of cellular network technology (5G) is scaling further in 2020, enabling a new wave of AI-powered end points. To remain competitive, manufacturers must implement enhanced security measures on edge and IoT devices designed for the increased performance in speed, latency, and connection density. Click here to r... » read more

High-Performance Memory For AI And HPC
By Ed Sperling - 09 Mar, 2020 - Comments: 0

Frank Ferro, senior director of product management at Rambus, examines the current performance bottlenecks in high-performance computing, drilling down into power and performance for different memory options, and explains what are the best solutions for different applications and why. » read more

Battling Persistent Hacks At The Flash Level
By Bryon Moyer - 05 Mar, 2020 - Comments: 0

Hardware vendors are beginning to close up security vulnerabilities across a broader range of technology than in the past, a sign that they are taking potential hardware breaches much more seriously. Awareness of security flaws has been growing since the introduction of Meltdown, Spectre and Foreshadow, and more recently, the Cable Haunt attack. The general conclusion among chipmakers is tha... » read more

Implementing Strong Security For AI/ML Accelerators
By Paul Karazuba - 05 Mar, 2020 - Comments: 0

A number of critical security vulnerabilities affecting high-performance CPUs identified in recent years have rocked the semiconductor industry. These high-profile vulnerabilities inadvertently allowed malicious programs to access sensitive data such as passwords, secret keys and other secure assets. The real-world risks of silicon complexity The above-mentioned vulnerabilities are primaril... » read more

HBM2E and GDDR6: Memory Solutions for AI
By Rambus - 04 Mar, 2020 - Comments: 0

Artificial Intelligence/Machine Learning (AI/ML) growth proceeds at a lightning pace. In the past eight years, AI training capabilities have jumped by a factor of 300,000 driving rapid improvements in every aspect of computing hardware and software. Meanwhile, AI inference is being deployed across the network edge and in a broad spectrum of IoT devices including in automotive/ADAS. Training and... » read more

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