Supply, Installation, Training, Testing and Commissioning of Machine Learning Based FPGA Kits for CEINC Lab

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 I/O Pins • 464, Featured Xilinx Devices ,Logic Cells 500k Memory 38Mb, • I/o 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 & I/O • 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