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XCVP1802-2MSELSVC4072
+StücklisteIC VERSAL AI-CORE FPGA 4072BGA
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HerstellerAMD
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Herstellerteil #XCVP1802-2MSELSVC4072
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Spezifikationen
| Attribut | Wert |
| Series | Versal® Premium |
| Part Status | Active |
| Architecture | MPU, FPGA |
| Core Processor | Dual ARM® Cortex®-A72 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5F with CoreSight™ |
| RAM Size | 256KB |
| Peripherals | DDR, DMA, PCIe |
| Connectivity | CANbus, EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
| Primary Attributes | Versal™ Premium FPGA, 7.3M Logic Cells |
| Operating Temperature | 0°C ~ 100°C (TJ) |
| Package / Case | 4072-BBGA, FCBGA |
| Supplier Device Package | 4072-FCBGA (65x65) |
Übersicht
Description
In practice, such identifiers are used for inventory management, technical documentation, and ensuring compatibility with other components. Without additional context or documentation, detailed information about its functions, applications, or industry usage would be speculative. For precise details, consulting the manufacturer's datasheet or technical documentation would be advisable, as these materials would provide in-depth insights into the product's specifications, capabilities, and intended use cases.
Equivalent
Pinout
For most Xilinx FPGAs, particularly from the Virtex series, the pin count can vary greatly depending on the specific model and package type. Virtex FPGAs can range from a few hundred to over a thousand pins. These pins are typically used for a variety of functions including general-purpose I/O, power supply connections, configuration, clock inputs, and specialized functions like differential signaling.
To find the precise pin count and functions, you would need to refer to the specific datasheet or product documentation from Xilinx for that part number. Typically, this information is available on the manufacturer's official website or can be obtained by contacting their support.
Manufacturer
These devices are particularly valued for their flexibility and efficiency in processing parallel tasks, enabling users to configure the hardware to optimally handle specific computational workloads. As a leader in adaptive compute acceleration platform (ACAP) technology, Xilinx (now AMD) continues to innovate within the field of programmable logic and adaptive computing, providing solutions that are integral to modern electronic systems design and implementation.