tender for supply, installation, training, testing and commissioning of machine learning based fpga kits for ceinc lab at school of electronics and communication engineering, smvdu, kakryal, katra , specifications of machine learning based fpga kit are as follows: , zynq ultra sacale zcu104 + evaluation kit system logic cells (k) • 504 memory • 38mb, dsp slices • 1,728, video codec unit • 1 maximum installation of pins • 464, featured xilinx devices ,logic cells 500k memory 38mb, • installation of pins 464 configuration • usb-jtag ft4232h,• dual quad-spi flash memory • microsd card memory • ps ddr4 64-bit component, • quad-spi flash,• micro sd card slot control & installation of • 4x directional pushbuttons, • dip switches,• pmbus, clocks, and i2c bus switching, • usb2/3 expansion connectors • fmc lpc (1x gth), • 3 pmod connectors, • pl ddr4 sodimm connector - 64 bit communication & networking • usb-uarts with ft4232h jtag/3xuart bridge • rj-45 ethernet connector • sata (m.2) for ssd access display • hdmi 2.0 video input and output (3x gth) • displayport (2x gtr) training • one-day vivado-based training on these boards. power • 12v wall adaptor or atx clocking • programmable clocks, system clock, user clock • jitter attenuator