Product - FPGA
The TUL FPGA PCIe Accelerator Card uses a Xilinx Field Programmable Gate Array (FPGA) as a programmable accelerator for data center applications.
The card is configured with Kintex Ultra Scale KU115 which supports 40Gb Ethernet operation over 2 QSFP28 connectors.
The TUL FPGA PCIe Accelerator Card uses a Xilinx Field Programmable Gate Array (FPGA) as a programmable accelerator for data center applications.
The card is configured with Kintex Ultra Scale KU115 which supports 40Gb Ethernet operation over 2 QSFP28 connectors.
    
Product Specification
    
        • PCIe Compliant in a Half-Length, Full-Height form factor
        • PCIe Gen3 x16 with bifurcation to dual x8 links or single x8 link without bifurcation
        • Xilinx® Kintex® Ultrascale™ XCKU115-2FLVB2104E
        • Four (4) DDR4 Interfaces (soldered down devices) - three (3) 72bit and one (1) 64bit capable of operating to 2400MT/s 
        • On-board re-programmable flash memory for configuration 
        • Two (2) 40Gb Ethernet ports with QSFP28 connector 
        • JTAG (micro USB) port for programming
        • Variable cooling fan operation for optimal ambient noise performance or passive heat sink 
        • On-board power telemetry via PMBus
    
    
Product Specification
    
        • PCIe Compliant in a Half-Length, Full-Height form factor
        • PCIe Gen3 x16 with bifurcation to dual x8 links or single x8 link without bifurcation
        • Xilinx® Kintex® Ultrascale™ XCKU115-2FLVB2104E
        • Four (4) DDR4 Interfaces (soldered down devices) - three (3) 72bit and one (1) 64bit capable of operating to 2400MT/s 
        • On-board re-programmable flash memory for configuration 
        • Two (2) 40Gb Ethernet ports with QSFP28 connector 
        • JTAG (micro USB) port for programming
        • Variable cooling fan operation for optimal ambient noise performance or passive heat sink 
        • On-board power telemetry via PMBus
    
	
    
TUL PCIE KU115
	
    
TUL PCIE KU115
    
Application
    
        • Video Processing
        • Machine Learning
        • High Performance Computing
        • Network Acceleration
    
    
Application
    
        • Video Processing
        • Machine Learning
        • High Performance Computing
        • Network Acceleration
    
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