Silverstone PSGM1300CPF Gemini 1300C Platinum 1300W 2U CRPS Redundant PSU

This item is brand-new, factory sealed.

• 1300W+1300W 24 / 7 continuous power output at 45C
• 2U CRPS form factor: 82mm (W) x 102mm (H) x 239mm (D)
• Active PFC (full range) with 80 PLUS Platinum certification
• All Japanese electrolytic capacitors and support PMBus 1.2
• Hot-swappable design with convenient pull-out handle bars

• Compatible Devices: Server
• Connector Type Used on Cable: ATX
• Output Wattage: 1300 Watts
• Item Dimensions: 9.41 x 3.23 x 4.02 inches
• Model Name: Gemini 1300C Platinum
• Brand: SilverStone
• Manufacturer: SilverStone Technology
• UPC: 844761027513
• Mfr Part Number: SST-CM1300FCPT-A
• Model Number: SST-CM1300FCPT-A
• Warranty Description: 3 year limited

With the increasing prevalence of Artificial Intelligence and the growing demand for AI-driven tasks, many systems are now turning to industrial power supplies for their reliability and redundancy. This trend has prompted SilverStone to adapt its product designs to meet the heightened requirements of AI-driven tasks. As a result of this shift, SilverStone recognized early on the need to diversify its product lines, leading to its introduction to the CRPS form factor with the release of Gemini 800C Platinum. This form factor, defined by Intel, targets hyper-converged computing, storage, and network equipment that may require substantial wattage output. Consequently, SilverStone is now expanding its lineup with the release of the CRPS unit Gemini 1300 Platinum. This unit features interchangeable 1+1 modules, with each module capable of outputting 1300W respectively. The Gemini 1300C Platinum is a Cybenetics Platinum certified unit featuring interchangeable 1+1 modules, with each module capable of outputting 1300W respectively while reliably operating at 50 degree Celsius with fully sustained power output. Other notable features include its incorporation of active PFC, all Japanese electrolytic capacitors, support for PMBus 1.2, and a hot-swappable design. These features all contribute to the its reliability, operability, and scalability, which are vital in the landscape of AI systems where maintaining system operation and preventing data loss is the number one priority.