2021 Trends For Data Centers, AI, And More


Previously, we took out our crystal ball and looked at some of the trends, technologies and changes that we expect to be embraced by the auto industry in 2021. Today, we are shining a light on technologies and trends that we predict will have a significant impact on the 5G, data center, AI and software, healthcare, and IIoT markets this year and beyond. For wired and wireless networking eq... » read more

Data Overload In The Data Center


Dealing with increasing volumes of data inside of data centers requires an understanding of architectures, the flow of data between memory and processors, bandwidth, cache coherency and new memory types and interfaces. Gary Ruggles, senior product marketing manager at Synopsys, talks about how these systems are being revamped to improve performance and reduce power. » read more

Is Computing Facing An Energy Crisis?


Is the end near? If the topic is energy efficiency gains in computing, the answer depends on whom you ask. The steady increase in performance per watt over the decades has been one of the most important drivers in our industry. Last year I was thumbing through a neighbor’s 1967 Motorola IC catalog that featured such space age wonders as a small control chip of the sort that went into th... » read more

Waking And Sleeping Create Current Transients


Silicon power-saving techniques are helping to reduce the power required by data centers and other high-intensity computing environments, but they’ve also added a significant challenge for design teams. As islands on high-powered chips go to sleep and wake up, the current requirements change quickly. This happens in a few microseconds, at most. The rapid change of loading creates a challen... » read more

System Design For Next-Generation Hyperscale Data Centers


As we are in the process of hyperscaling the large volumes of data that our devices and sensors create, processing this data along the way at far and near edges, and transmitting the hard-to-imagine volumes of data through networks to data centers for processing, the data center itself is undergoing a fundamental shift with new networking and architecture co-design opportunities. In a previous ... » read more

Different Requirements For Hyperscale Computing Across Vertical Application Domains


As mentioned in previous posts, one of the key conversations I have with customers a lot these days is how to deal with the balance of storage, compute and connectivity as we enter the era of hyperscale computing. While there are overarching challenges that are “of similar class” across the vertical application domains—consumer, hyperscale computing, mobile, networking, aerospace/defense,... » read more

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

Hyperscale And Edge Computing: The What, Where And How


We hear a lot about “edge computing” these days. We are approaching an era in which unfathomable amounts of data are created, which need to be transmitted, stored, processed and made sense of. As we are witnessing never-before-seen scaling in all those domains, the term “hyperscale” computing has been invented. But what about the edge? As it turns out, the definition seems to have chang... » read more

PCIe 5.0: A Key Interface Solution For The Evolving Data Center


A great many developments are shaping the evolution of the data center. Enterprise workloads are increasingly shifting to the cloud, whether these be hosted or colocation implementations. The nature of workload traffic is changing such that data centers are architected to manage greater east-west (within the data center) communication. New workloads, with AI/ML (artificial intelligence/machine ... » read more

The Four Pillars Of Hyperscale Computing


In his keynote at CadenceLIVE Americas 2020, Facebook’s Vijay Rao, director, Technology and Strategy, described the four core elements the team considers when designing their data centers—compute, storage, memory, and networking. Wait a minute. Facebook? How did we get here? Wasn’t EDA supposed to be focused on chip design? As indicated in a previous blog, electronic value chains are defi... » read more

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