category: A Bit About Memory

category: IoT, Security & Automotive

2.5D Architecture Answers AI Training’s Call for “All of the Above”
By Frank Ferro - 09 Apr, 2020 - Comments: 0

The impact of AI/ML grows daily impacting every industry and touching the lives of everyone. In marketing, healthcare, retail, transportation, manufacturing and more, AI/ML is a catalyst for great change. This rapid advance is powerfully illustrated by the growth in AI/ML training capabilities which have since 2012 grown by a factor of 10X every year. Today, AI/ML neural network training mod... » 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

Enabling Integration Success Using High-Speed SerDes IP
By Niall Sorensen - 13 Feb, 2020 - Comments: 0

By Niall Sorensen and Malini Narayanammoorthi Internet traffic volumes continue to grow at a breakneck pace, and the demands on SerDes speeds increase accordingly. High-speed SerDes play an integral part of the networking chain and these speed increases are required to support the bandwidth demands of artificial intelligence (AI), Internet of Things (IoT), virtual reality (VR) and many more ... » read more

Accelerating AI And ML Applications With PCIe 5
By Suresh Andani - 16 Jan, 2020 - Comments: 0

The rapid adoption of sophisticated artificial intelligence/machine learning (AI/ML) applications and the shift to cloud-based workloads has significantly increased network traffic in recent years. Historically, the intensive use of virtualization ensured that server compute capacity adequately met the need of heavy workloads. This was achieved by dividing or partitioning a single (physical) se... » read more

GDDR6 Pushes The Memory Envelope For AI And ADAS
By Frank Ferro - 14 Nov, 2019 - Comments: 0

Memory bandwidth is an ever-increasing critical bottleneck for a wide range of use cases and applications. These include artificial intelligence (AI), machine learning (ML), advanced driver-assistance systems (ADAS), as well as 5G wireless and wireline infrastructure. In addition to memory bottlenecks, the above-mentioned use cases and applications are rapidly hitting the real-world limits of t... » read more

Accelerating Chiplets With 112G XSR SerDes PHYs
By Nhat Nguyen - 31 Oct, 2019 - Comments: 0

The fading of Moore’s Law and an almost exponential increase in data is challenging the semiconductor industry as never before. Indeed, zettabytes of data are constantly generated by a wide range of devices including IoT endpoints such as vehicles, wearables, smartphones and appliances. Moreover, sophisticated artificial intelligence (AI) and machine learning (ML) applications are adding new ... » read more

Breaking Down The AI Memory Wall
By Steven Woo - 12 Sep, 2019 - Comments: 0

Over the past few decades, the semiconductor industry has witnessed the rapid evolution of memory technology as new memories helped to usher in new usage models that characterized each decade. For example, synchronous memory helped drive the personal computer (PC) revolution in the 1990s, and this was quickly followed by specialized graphics memory (GPUs) for game consoles in the 2000s. When sm... » read more

OIF Eyes Expanded Electrical Link Definitions For 112 Gbps
By Saman Sadr - 12 Aug, 2019 - Comments: 0

The insatiable demand for more bandwidth, lower latencies, and higher speeds is driven by a diverse range of applications and use cases. These include artificial intelligence /machine learning, sophisticated ADAS systems for semi-autonomous vehicles, 4K-8K video streaming, eSports, and AR/VR. With global IP traffic now measured in zettabytes (ZB) per year, hyperscalers and service providers ... » read more

GDDR Accelerates Artificial Intelligence And Machine Learning
By Frank Ferro - 16 Jul, 2019 - Comments: 0

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, GDDR5X and the latest generation of GDDR memory, GDDR6. GDDR6 SGRAM supports a ma... » read more

HBM2e Offers Solid Path For AI Accelerators
By Sanjay Charagulla - 13 Jun, 2019 - Comments: 0

Today, AI processors are so blazingly fast that they’re constantly having to wait for data from memory. Unfortunately, with the status quo, memory is just not fast enough to unleash the true performance of those new and highly advancing AI processors. In simple terms, AI processor performance is rapidly growing, and memory is not keeping up. This creates a bottleneck, or what Rambus calls the... » read more

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