CPC Launches Everis DC Series Connectors for AI Infrastructure

CPC - Colder Products Company, part of PSG, a Dover company, launches the Everis® DC Series, a family of full-flow connectors designed to support the increasing thermal demands of artificial intelligence (AI) and high-performance computing infrastructure. Read more: https://ow.ly/EI6N50ZrxjK

AI performance is hitting a new limit — and it’s not compute. It’s data movement. As systems scale, bandwidth, latency, and power across memory and interconnect determine real performance. Understanding this shift is critical to building efficient, next-gen AI architectures. Learn more in the latest Synopsys webinar: https://bit.ly/44CnLoD

Quantum computing takes a fundamentally different approach than classical computing, enabling it to solve problems that are currently beyond the reach of today’s computers. With the potential to transform industries like AI, quantum computing could take innovation even further. In ServiceNow Workflow's latest thought leadership article, discover eight steps to help your organization prepare for the quantum future: https://lnkd.in/gqt9JvsX

SizzleTech!!! Announces Patent-Pending “SpeedOfLight!!!” AI Platform to Advance AI Infrastructure SizzleTech!!! a technology development company focused on adaptive computing and AI infrastructure, today announced its patent-pending hybrid adaptive computing and energy architecture, which the company says is designed to improve performance, efficiency and scalability across existing and future compute, media and communications systems. Read more at https://Sizzle-Tech.com

In recent years, AI infrastructure discussions have focused on training clusters, with an emphasis on larger models, expanding GPU estates, scale-out fabrics, and the synchronization demands of thousands of accelerators. However, inference has emerged as the dominant operational AI workload. While much of the industry conversation still focuses on accelerators and compute scale, less attention is given to the implications for network architecture, optical connectivity, and physical infrastructure design. In response, AFL - Hyperscale and AI Network Solutions has developed a white paper series to help address that gap. The first paper, Architecting AI at Scale: From Training Clusters to Inference-Driven Infrastructure, explores six inference-led AI workload categories and provides practical insights into network behavior, optical requirements, and multi-domain infrastructure planning. Download the whitepaper here: https://lnkd.in/eJQj-zkF #AFL #AIOpticalinfrastructure #DCNN

They say men and women lie, but numbers don't. Only 5% utlitization around all this spend on AI is almost inconceivable when alternatives to make it better exist. For those that requested - 5 min read is here: https://lnkd.in/gCjNuGyK

Yesterday I wrote about the nearly $1 trillion nine companies are set to spend on data centers this year. But the even crazier number is the average GPU utilization inside those fleets, which sits at just 5%. Sit with that for a second. Ninety-five percent of the compute we're building is idle, most of the time, on some of the most expensive infrastructures ever deployed. Now ask the obvious question. What happens if you could close that gap and deliver more value with your existing fleet? That's the problem TAHO Labs has been working on. Not building more capacity, but better utilizing the current capacity that already exists. We've been publishing research on this, and if you want the data behind the 5% number, it's here: https://lnkd.in/gCjNuGyK More on the broader utilization problem at www.taholabs.com/insights.

AI conversations often center around power and compute. But inference brings a different challenge—what surrounds the infrastructure becomes just as critical. Proximity to networks, data, and ecosystems is no longer optional. It’s part of the design 🤖 ▶️ https://bit.ly/4ds2anS #AIInfrastructure #Inference #DigitalEcosystem #Interconnection

The latest #Top500 and #Green500 lists highlight the transformative impact of AI on computing infrastructures and software ecosystems. These rankings showcase the growing importance of powerful computing solutions. However, this evolution goes beyond mere performance; energy efficiency and software preparedness are gaining significance. It's inspiring to see @Arm recognized in both charts as they lead the way in advancing AI and supercomputing technology. https://okt.to/6sFmBy

HPE Alletra Storage MP X10000 Release 3 marks an important milestone in the platform’s development: it is evolving from a high-performance object storage system into a unified file and object platform designed for production AI deployments. Discover the most important new features: https://hpe.to/6043BEMHQU