Author's Latest Posts


GDDR6 Memory For Life On The Edge


With the torrid growth in data traffic, it is unsurprising that the number of hyperscale data centers has grown apace. According to analysts at the Synergy Research Group, in July of this year there were 541 hyperscale data centers worldwide. That represents a doubling in the number since 2015. Even more striking, there are an additional 176 in the pipeline, so the breakneck growth in hyperscal... » read more

Scaling AI/ML Training Performance With HBM2E Memory


In my April SemiEngineering Low Power-High Performance blog, I wrote: “Today, AI/ML neural network training models can exceed 10 billion parameters, soon it will be over 100 billion.” “Soon” didn’t take long to arrive. At the end of May, OpenAI unveiled a new 175-billion parameter GPT-3 language model. This represented a more that 100X jump over the size of GPT-2’s 1.5 billion param... » read more

An Expanding Application Space For GDDR6 Memory


The origins of graphics double data rate (GDDR) memory can be traced to the rise of 3D gaming on PCs and consoles. The first GPUs used single data rate (SDR) and double data rate (DDR) DRAM, the same memory used for CPU main memory. The quest for higher frame rates at higher resolutions drove the need for a graphics-workload specific memory solution. The commercial success of gaming PCs and con... » read more

2.5D Architecture Answers AI Training’s Call for “All of the Above”


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


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

GDDR6 Pushes The Memory Envelope For AI And ADAS


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

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

← Older posts