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GDDR Accelerates Artificial Intelligence And Machine Learning


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

GDDR6 And HBM2: Signal Integrity Challenges For AI


In a nutshell, Artificial Intelligence (AI) and its growing list of applications demand a considerably large amount of bandwidth to push bits in and out of memory at the highest speeds possible. AI has been getting a lot of industry attention, and certainly it’s not a new phenomenon because it’s been gaining even greater traction in the last year or two. This is especially true since a n... » read more

GDDR6: Signal Integrity Challenges For Automotive Systems


Signal integrity (SI) is at the forefront of SoC and system designers’ thinking as they plan for upcoming high-speed GDDR6 DRAM and PHY implementations for automotive and advanced driver assistance system (ADAS) applications. Rambus and its partners are closely looking at how GDDR6’s 16 gigabit per second speed at each pin affects signal integrity given the cost and system constraints for a... » read more

The Promise Of GDDR6 And 7nm


Research Nester, a market research and consulting firm, estimates that the “global market of computer graphics may witness a remarkable growth and reach at the valuation of $215.5 billion by the end of year 2024.” Plus, it says this market is expected to grow at a significant compound annual growth rate or CAGR of 6.1% over the forecast period 2017 to 2024. Computer graphics is just the ... » read more

Deep Learning Neural Networks Drive Demands On Memory Bandwidth


A deep neural network (DNN) is a system that is designed similar to our current understanding of biological neural networks in the brain. DNNs are finding use in many applications, advancing at a fast pace, pushing the limits of existing silicon, and impacting the design of new computing architectures. Figure 1 shows a very basic form of neural network that has several nodes in each layer that ... » read more

GDDR6 PHYs: From The Data Center To Self-Driving Cars


The demand for ever-increasing bandwidth has resulted in a growing interest in GDDR across a number of market verticals, including data centers and the automotive sector. As an example of the former, deep learning applications require ever-increasing speed and bandwidth memory solutions in the data center. In deep learning and other emerging technologies, GDDR memory can help companies addre... » read more

The Promises And Challenges Of 7nm


Despite a waning Moore’s Law and the increasing costs of advanced process nodes, the semiconductor industry is steadily approaching 7 nanometers (nm). The demand for 7nm is driving expected initial tape-outs from fabs by the end of 2017, with initial volumes beginning in 2018 and ramping up by 2019. Silicon fabbed on 7nm nodes will offer a number of benefits for chipmakers, including lower po... » read more

The Challenges Of Designing An HBM2 PHY


Originally targeted at the graphics industry, HBM continues to gain momentum in the server and networking markets as system designers work to move higher bandwidth closer to the CPU. Expanding DRAM capacity – which boosts overall system performance – allows data centers to maximize local DRAM storage for wide throughput. HBM DRAM architecture effectively increases system memory bandwidth... » read more

Architecting Memory For Next-Gen Data Centers


The industry’s insatiable appetite for increased bandwidth and ever-higher transfer rates is driven by a burgeoning Internet of Things (IoT), which has ushered in a new era of pervasive connectivity and generated a tsunami of data. In this context, datacenters are currently evaluating a wide range of new memory initiatives. All seek to optimize efficiency by reducing data transport, thus sign... » read more

How Is Your HBM Memory?


The seemingly countless applications used every day requiring web access (social media, streaming video, games, etc.) are not only driving the need to store a tremendous amount of data, but also driving the need to access this data with as little delay as possible. Add to this list the growing number of connected devices (IoT), and you can see why changes in the data center are needed, in parti... » read more

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