Author’s Note: This blog discusses new functionality introduced in the PCIe 6.0 specification, but please note that subsequent revisions have been published. Developers should always work from the latest revision to ensure they see all specification errata.

Servers are challenged to process more intricate and diverse types of workloads in cloud, hybrid-cloud and enterprise data centers.

Flash Memory Summit (FMS) 2023 is right around the corner on Aug. 8-10 at the Santa Clara Convention Center in Santa Clara, CA.

With the emergence of autonomous vehicles, AI-based advanced driver assistance systems (ADAS) and in-vehicle infotainment (IVI), today’s automobiles are becoming high-tech “servers on wheels.” PCI Express® (PCIe®) technology is expanding to become the interconnect of choice in automotive applicat

By: Hope Bovenzi, Strategic Marketing, Astera Labs

With the widespread adoption of compute-intensive workloads – such as artificial intelligence and machine learning – in enterprise and cloud data centers, high-speed, low-latency interconnects like PCI Express^® architecture are required to connect high-performance nodes.

As I look back on 2019, I’m proud to report that it has been a banner year for PCI-SIG^®.

According to Tractica, Artificial Intelligence (AI) and Machine Learning (ML) markets are set to grow to $118.6 billion by 2025—as  these new technologies are becoming the heart of our digital lives.

Our PCI-SIG^® members have been hard at work. In 2017, we delivered PCI Express^® 4.0 with its 16 GT/s, while also diving headfirst into PCI Express 5.0 development – first announced at our annual PCI-SIG DevCon in June 2017.

I’m pleased to share that PCI-SIG^® continues to make great progress on the development of our next generation of PCIe^® technology – the