China FPGA
China FPGA Zynq SoC SoM – PBC7Z020G
China FPGA Zynq SoC SoM · dual-core A9 + FPGA heterogeneous · -55~125°C military-grade wide temperature · 35×42mm ultra-compact
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AI model deployment demands a balanced combination of compute power, bandwidth and power efficiency. With hardware parallelism, reconfigurable datapaths and rich high-speed interfaces, FPGA and MPSoC deliver low-latency, energy-efficient heterogeneous compute for CNN/YOLO inference, Vitis-AI acceleration and edge intelligence terminals, enabling rapid algorithm porting and product deployment.
China FPGA
China FPGA Zynq SoC SoM · dual-core A9 + FPGA heterogeneous · -55~125°C military-grade wide temperature · 35×42mm ultra-compact
SoC Development Boards
Zynq UltraScale+ MPSoC heterogeneous platform · quad-core A53 · 10GB ECC DDR4 · 4×25G optical ports
China FPGA
China FPGA Zynq SoC SoM · HWD7Z020 · dual-core A9 + FPGA · -55~125°C wide temperature · 60×60mm
In the design of onboard computing architectures for high-end drones, "pure FPGA or MPSoC" is an unavoidable core question. Pure FPGA excels at hardware parallelism and deterministic latency; MPSoC integrates CPU, real-time cores and programmable logic into a single chip, balancing software flexibility and hardware acceleration. The two are not simple substitutes — they correspond to fundamentally different task-load characteristics. As a technical team deeply engaged in the FPGA field, Duyuan Electronics, based on the engineering practice of the ZU19EG and VU13P product lines, sorts out the technical logic of this selection problem from the nature of drone task loads, and provides reference solutions covering different scenarios.
Foreword: The AMD Alveo V80 is built on the Versal HBM XCV80 adaptive SoC architecture — a high-end server accelerator card for data-center high-bandwidth, high-throughput, large-scale parallel computing, widely used in HPC, quantitative finance, big data analytics and network acceleration. The V80 adopts a brand-new Versal HBM architecture with strictly version-locked development environments. Standardized deployment of prerequisite drivers, toolchains and base frameworks is the core prerequisite for stable engineering compilation, on-board debugging and hardware development later on.
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