Chip Industry Week In Review


The University of Texas at Austin’s Texas Institute for Electronics (TIE) was awarded $840 million to establish a Department of Defense microelectronics manufacturing center. This center will focus on developing advanced semiconductor microsystems to enhance U.S. defense systems. The project is part of DARPA's NGMM Program. The U.S. Dept. of Commerce announced preliminary terms with Global... » read more

How Does Reclaiming Data Center Lost Capacity Result in Return on Investment?


As the importance of data center performance, efficiency, and sustainability grows, owners and operators must move beyond “quick fixes” when managing their data center and IT deployments. These temporary solutions are neither effective nor sustainable. Long-term solutions and effective management over time are required to achieve meaningful efficiency gains. Capacity planning is one such di... » read more

Data Center Evolution: The Leap to 64 GT/s Signaling with PCI Express 6.1


The PCI Express (PCIe) interface is the critical backbone that moves data at high bandwidth and low latency between various compute nodes such as CPUs, GPUs, FPGAs, and workload-specific accelerators. With the rapid rise in bandwidth demands of advanced workloads such as AI/ML training, PCIe 6.1 jumps signaling to 64 GT/s with some of the biggest changes yet in the standard. Find more inform... » read more

Sea Of Processors Use Case


Core counts have been increasing steadily since IBM's debut of the Power 4 in 2001, eclipsing 100 CPU cores and over 1,000 for AI accelerators. While sea of processor architectures feature a stamp and repeat design, per-core workloads aren't always going to be symmetrically balanced. For example, a cloud provider (AI or compute) will rent out individual core clusters to customers for specialize... » read more

Application-Specific Power Performance Optimizer Based On Chip Telemetry


As datacenter power consumption continues to pose cooling and cost challenges, and battery driven devices are expected to last longer between charges, the search for advanced power management mechanisms continues. A modern design must balance between maximizing performance, consuming the least amount of power, and guaranteeing no failures in field. The latter requires safety margins which tr... » read more

Building Scalable And Efficient Data Centers With CXL


The AI boom is giving rise to profound changes in the data center; demanding AI workloads are driving an unprecedented need for low latency, high-bandwidth connectivity and flexible access to more memory and compute power when needed. The Compute Express Link (CXL) interconnect offers new ways for data centers to enhance performance and efficiency between CPUs, accelerators and storage and move... » read more

AI Races To The Edge


AI is becoming increasingly sophisticated and pervasive at the edge, pushing into new application areas and even taking on some of the algorithm training that has been done almost exclusively in large data centers using massive sets of data. There are several key changes behind this shift. The first involves new chip architectures that are focused on processing, moving, and storing data more... » read more

Closing The Performance Gap Between DRAM And AI Processors


As the workhorse of semiconductor memory, DRAM holds a unique place in the industry thanks to its large storage capacity and ability to feed data and program code to the host processor quickly. Lately, this unsung hero of the circuit board has been taking a backseat to its logic counterparts, as a wave of high-performance FPGAs, CPUs, GPUs, TPUs and custom accelerator ASICs emerges to meet t... » read more

Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere


Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

AI Drives Need For Optical Interconnects In Data Centers


An explosion of data, driven by more sensors everywhere and the inclusion of AI/ML in just about everything, is ratcheting up the pressure on data centers to leverage optical interconnects to speed up data throughput and reduce latency. Optical communication has been in use for several decades, starting with long-haul communications, and evolving from there to connect external storage to ser... » read more

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