PCIe 5.0 connector system helps reduce footprint

The connector system is in stock at authorised distributor DigiKey

These connectors offer full PCIe CEM specification compliance in a compact, space-saving design with hybrid power and signal integration. The Micro-Fit+ PCIe 12 V 2x6 connector system features a compact hybrid power and signal design that supports 9.5 A per pin across 12 energized power pins and signal transmission across four sideband pins.

Fully isolated cavities protect terminals from damage while facilitating enhanced performance which is further supported by high-performance materials such as high-current copper alloy, low halogen, liquid crystal polymer, tin plating and phosphorous bronze.

These hybrid connectors are mechanically keyed to comply with next-generation CEM 5.0/6.0 base specification requirements, so they are not intended to mate with Legacy 2x3 and 2x4 PCIe connectors.

Compact Micro-Fit+ PCIe connectors have a low pitch that helps reduce footprint when compared to these legacy designs.

Proven contact systems with four independent contact points on each power pin offer redundant secondary current paths for long-term efficiency and reliability.

A make first, break last (MFBL) mating sequence between the power and signal pins mitigates arcing risk. The lead-free, low-halogen, RoHS-compliant design aligns with key health, safety, and environmental regulations.

The connector system features a voltage rating of 600 VAC/DC and a dielectric withstanding voltage: 1,500 

Consumer applications cover copiers, freezers, 3D printers, pinball and slot machines, refrigerators, vending machines, video poker and pachinko equipment and washing machines.

Medical applications cover diagnostic equipment and patient monitors.

In telecommunications/networking the applications are:

• Routers and switches
• Servers
• High-speed computing and storage systems
• Graphics and gaming systems
• Internet of Things (IoT)
• Data centres
• High-performance computing equipment
• Artificial intelligence (AI)/machine learning systems (MLS)
• Virtual-reality