Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence
By Shivani Joshi - 14 Aug, 2025 - Comments: 0

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever-shrinking development cycles. Traditional methods—relying on intuition, trial-and-error testing, and even basic simulation—struggle to keep pace with the growing complexity of modern systems. Nowhere is this more evident than in printe... » read more

Maximize Uptime And Improve TCO: RAS And Telemetry In HBM4 For Data Centers
By Raj Uppala - 14 Aug, 2025 - Comments: 0

As AI workloads scale and data center operations become increasingly complex, it is critical to keep the infrastructure up and running. Total Cost of Ownership (TCO) is a key metric that includes not only the upfront cost of hardware but also the ongoing expenses of power, cooling, maintenance, and—most importantly—downtime. A single memory failure in a hyperscale AI cluster can cascade int... » read more

UEC-CBFC: Credit-Based Flow Control For Next-Gen Ethernet In AI And HPC
By Harinee Rathod - 14 Aug, 2025 - Comments: 0

For ages, Ethernet has been the backbone of networking — starting from simple web browsing to cloud computing, data centers, automobiles, and more. Ethernet has enabled countless innovations, and now, it's expanding to meet the demands of AI and HPC. As the world shifts toward these new technologies, new challenges are emerging. These include increased scale, higher bandwidth density, mult... » read more

Reliable Training Data Paramount To AI Model Success
By Ann Mutschler - 14 Aug, 2025 - Comments: 0

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Digital Engineering Transforms Chips For The Future
By Jayraj Nair - 14 Aug, 2025 - Comments: 0

The semiconductor industry stands at a critical turning point. With global semiconductor sales exceeding $600 billion last year, the need for the industry to scale has never been more apparent. As AI applications drive unprecedented requirements for processing capabilities, chip designers are turning to advanced simulation technologies to enable the digital engineering workflows that will sup... » read more

Will New Processor Architectures Raise Energy Efficiency?
By Bryon Moyer - 14 Aug, 2025 - Comments: 1

Data centers continue to heat up as new processors consume more energy than ever before. Cooling is the primary weapon against the heat these processors generate, but it won’t be able to keep up forever with traditional processor architectures. New ones may be necessary. There are opportunities today to make well-known architectures more energy-efficient, but the number of options for subs... » read more

Start Experimenting With Neural Super Sampling For Mobile Graphics
By Sergio Alapont Granero - 14 Aug, 2025 - Comments: 0

Mobile game developers around the world face increasing pressure to meet user expectations for sharper visuals, smoother gameplay, and longer battery life. Balancing these goals on constrained mobile devices often means making trade-offs. Traditional upscaling methods offer limited flexibility. Real-time AI rendering remains complex, power-hungry, or hardware dependent. Neural Super Sampling... » 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

Scaling DRAM Technology To Meet Future Demands: Challenges And Opportunities
By Rambus - 13 Aug, 2025 - Comments: 0

Since the invention of the 1T1C bit cell more than 50 years ago, DRAMs have become the main memory of choice for processors in computer systems and many consumer electronics devices. As new use computing paradigms have been created, including 3D graphics, cloud computing, smart phones, and AI processing, specialized processors and DRAM memories have been developed that are optimized for these u... » read more

Building An AI Chip: Pre Silicon Planning
By Synopsys - 13 Aug, 2025 - Comments: 0

This white paper highlights the challenges of AI chip design, including balancing performance, cost, and power efficiency. It emphasizes the importance of early architecture exploration to avoid costly design revisions and ensure optimal power-performance trade-offs. The paper underscores the need for secure, efficient, and scalable IP solutions to meet the evolving demands of AI applications, ... » read more

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