category: Videos

category: Auto, Security & Edge AI

The Rise Of AI Co-Processors
By Ed Sperling - 29 Sep, 2025 - Comments: 0

Figuring out the best kinds of processors to use for different AI workloads is a challenge. AI algorithms are undergoing rapid and frequent changes, and the workloads tied to them can vary by data type, by user, and sometimes because of software/firmware updates. On top of that, AI computations tend to require much higher utilization rates than traditional computing, and that will only become m... » read more

The Evolution of DRAM
By Ed Sperling - 08 Sep, 2025 - Comments: 1

DRAM has been around since 1966, but today it's still the same basic 1T 1C bit cell architecture. Yet changes are coming as DRAM is called upon to store and retrieve more data faster. Steve Woo, distinguished inventor and fellow at Rambus, talks about how DRAM works, why there are different flavors, the impact of cooling new solutions in denser configurations, and ongoing issues involving the s... » read more

Workload-Specific Hardware Accelerators
By Ed Sperling - 13 Aug, 2025 - Comments: 0

Workload-specific hardware accelerators are becoming essential in large data centers for two reasons. One is that general-purpose processing elements cannot keep up with the workload demands or latency requirements. The second is that they need to be extremely efficient due to limited electricity from the grid and the high cost of cooling these devices. Sharad Chole, chief scientist and co-foun... » read more

What’s Different About HBM4
By Ed Sperling - 11 Aug, 2025 - Comments: 0

Memory bandwidth is limiting the flow of huge datasets that are needed to train AI models. There is much more data to process, store, and retrieve, but the speed at which that data moves through high-bandwidth memory (HBM) stacks is significantly lower than the speed at which data can be processed. Frank Ferro, group director for product management at Cadence, talks about the new HBM4 standard,... » read more

LLMs On The Edge
By Ed Sperling - 16 Jun, 2025 - Comments: 0

Nearly all the data input for AI so far has been text, but that's about to change. In the future, that input likely will include video, voice, as well as other types of data, causing a massive increase in the amount of data that needs to be modeled and the compute resources necessary to make it all work. This is hard enough in hyperscale data centers, which are sprouting up everywhere to handle... » read more

The Road To Super Chips
By Ed Sperling - 27 Jan, 2025 - Comments: 0

Reticle size limitations are forcing chip design teams to look beyond a single SoC or processor in order to achieve orders of magnitude improvements in processing that are required for AI. But moving data between more processing elements adds a whole new set of challenges that need to be addressed at multiple levels. Steve Woo, distinguished inventor and fellow at Rambus, examines the benefits ... » read more

Next-Gen High-Speed Communication In Data Centers
By Ed Sperling - 21 Aug, 2024 - Comments: 0

Data centers are being flooded with data. While more of it needs to be processed locally, much of it also needs to be moved around within a system and between systems. This has put a spotlight on a variety of new optical technologies and methodologies. Yang Zhang, senior product marketing manager at Cadence, talks about the rapid increase in different types of optics and optical scenarios being... » read more

Real-World Applications Of Computational Fluid Dynamics
By Ed Sperling - 05 Aug, 2024 - Comments: 0

More powerful chips are enabling chips to process more data faster, but they're also having a revolutionary impact on how that data can be used. Simulations that used to take days or weeks now can be completed in a matter of hours, and multi-physics simulations that were implausible to even consider are now very much in the realm of what is possible. Parviz Moin, professor of mechanical enginee... » read more

Making Electronics More Efficient
By Ed Sperling - 31 Jul, 2024 - Comments: 0

Projections about the amount of energy required for AI in data centers and other electronic devices are putting a spotlight on more efficient electronics. But making chips and systems more efficient is an enormous challenge. It used to be as simple as turning down the voltage or moving to the next process node, but those approaches are no longer yielding the same kinds of benefits as in the pas... » read more

Challenges With Chiplets And Power Delivery
By Ed Sperling - 15 Apr, 2024 - Comments: 0

Chiplets hold the potential to deliver the same PPA benefits as an SoC, but with many more features and options that are possible on a reticle-constrained die. If chiplets live up to the hype, they will deliver what is essentially mass customization, democratizing and speeding the delivery of complex chips across a broad array of markets. Today, the focus has been on die-to-die interfaces, but ... » read more

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