PCIe Benefits From AI, Despite Scaling Protocols


Key takeaways: PCIe remains a critical technology for non-AI processing. For AI, PCIe will be strengthened by scale-out, agentic AI, and even some scale-up. CXL is seeing uptake, and some even think it could participate in AI processing. PCIe has been the go-to network for most data traffic moving from a processor to devices located elsewhere, which is also what the new data... » read more

Supporting Safety Requirements from RTL Exploration Through Implementation in Semiconductor Devices (Politecnico di Torino, Synopsys)


A new technical paper, "Early Functional Safety and PPA evaluation for faster digital design development," was published by researchers at Politecnico di Torino and Synopsys. Abstract "The use of semiconductor devices in safety-critical applications is increasing in both volume and complexity. Applications in markets such as automotive, data centers, and aerospace have dependability requi... » read more

Inside the AI Accelerator: Essential IP Design Solutions: eBook


This eBook explores how next‑gen AI accelerators break past single‑chip limits using advanced IP, high‑speed interconnects, memory interfaces, and multi‑die architectures. You’ll see how optical links push bandwidth further and how built‑in security IP keeps AI data protected without slowing performance. What you'll learn: How UALink, PCIe, CXL, and Ultra Ethernet enable sca... » read more

Why Co-Packaged Optics Should be Viewed as an Architectural Commitment (UW-Madison, MIT et al.)


A new technical paper, "3D optoelectronics and co-packaged optics: when solving the wrong problems stalls deployment," by the University of Wisconsin, MIT, and Invictus Innovation EV Technology. Abstract "The rapid growth of AI and accelerator-driven workloads is forcing a fundamental rethinking of optical interconnect architectures in datacenters. Co-packaged optics and three-dimensional... » read more

From Reactive Monitoring To Proactive Optimization: The Next Evolution In Data Center Design And Infrastructure Management (Ebook)


Data centers are under more pressure than ever. Surging AI workloads, rising energy consumption, and increasingly complex cooling and power systems are pushing traditional DCIM (Data Center Infrastructure Management) tools to their limits. To stay competitive, operators must shift from reactive monitoring to proactive, simulation-driven optimization. Our free eBook reveals how leading organi... » read more

Ebook: The Impact of AI On Data Center Design


AI is reshaping the data center industry. Rising power demands, advanced cooling needs, and digital twin technology are redefining how facilities are designed and operated. Download our free ebook on AI-optimized data centers to learn: How AI workloads are driving massive increases in power and cooling requirements Why liquid cooling is becoming essential for AI infrastructure ... » read more

Enabling The 448G Era: System Architecture And Standards For Next-Gen AI Networks


As Artificial Intelligence (AI) and Machine Learning (ML) workloads continue to reshape data center infrastructure, the need for higher bandwidth and lower latency has accelerated the need for a next-generation Ethernet. This white paper examines the industry’s shift toward 448G signaling—driven by scale-up and scale-out AI cluster demands—and outlines the evolving system architecture... » read more

Complex Mix Of Processors At The Edge


With AI changing so fast, it’s a juggle for companies to ensure they can deliver the best performance now while also future-proofing for unknown AI models or a completely different approach to training and inference that may emerge. There are a slew of options for high-end and budget phones, hyperscalers, and low-cost, low-power edge devices, and while GPUs keep making headlines, many designe... » read more

Crisis Ahead: Power Consumption In AI Data Centers


AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data centers are built, and much more efficient system, chip, and software architectures. The numbers are particularly striking for the United States and China, which are in a race to ramp up AI data ... » read more

Expanding Server Memory Capabilities With Multiplexed Rank DIMM (MRDIMM) Technology


The scaling of computational power within a single, packaged semiconductor component continues to rise following a Moore’s law type curve enabling new and more capable applications including machine learning (ML), generative artificial intelligence (AI), and training and deployment of large language models (LLM). On-demand lifestyle applications like language translation, direction finding, a... » read more

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