
AMD Xilinx
HW-V5-ML510-G-J
HW-V5-ML510-G-J ECAD Model
HW-V5-ML510-G-J Attributes
Type | Description | Select |
---|---|---|
Mfr | AMD Xilinx | |
Series | Virtex®-5 FXT | |
Package | Box | |
Type | FPGA | |
For Use With/Related Products | XC5VFX130T | |
Platform | Virtex-5 FXT FPGA ML510 Japan | |
Contents | Board(s), Cable(s) - Power Supply Not Included - | |
Note | P/N Breakdown: J = Japan version does not ship with a power supply | |
Base Product Number | XC5VFX130 |
HW-V5-ML510-G-J Datasheet Download
HW-V5-ML510-G-J Overview
The Xilinx model HW-V5-ML510-G-J is a powerful system-on-chip (SoC) development board designed for advanced machine learning (ML) applications. This model is an advanced version of the Xilinx Zynq-7000 SoC series, and it combines the processing power of a dual-core ARM Cortex-A9 processor with the programmable logic capabilities of Xilinx 7-series FPGA technology.
This board's specification includes a Zynq-7000 SoC with 1GB DDR3 SDRAM, 256MB QSPI Flash, 4GB SD Card, and a Gigabit Ethernet port. It also has an HDMI port, two FMC (FPGA Mezzanine Card) connectors, and a DisplayPort for video output. Besides, it includes an embedded MicroBlaze processor and a low-power Artix 7 FPGA.
The HW-V5-ML510-G-J is commonly used in the development of advanced ML applications in a wide range of industries, including aerospace, defense, automotive, and medical. With its powerful hardware, it can deliver high-performance processing power and excellent programmable logic capabilities, making it suitable for ML workflows that require high-speed processing, data acquisition, and real-time data analysis.
Furthermore, the HW-V5-ML510-G-J offers a high level of flexibility, making it the perfect platform for designers to develop and test custom accelerators, machine learning models, and algorithms. The availability of multiple FMC connectors also offers a high level of connectivity options and customization capabilities, making it an ideal choice for development teams seeking to design and implement ML applications.
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Pricing (USD)
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