{"id":661,"date":"2023-03-23T17:24:31","date_gmt":"2023-03-23T17:24:31","guid":{"rendered":"https:\/\/gidel.com\/?post_type=product&p=661"},"modified":"2026-07-05T12:39:31","modified_gmt":"2026-07-05T12:39:31","slug":"fpga-for-ai","status":"publish","type":"product","link":"https:\/\/gidel.com\/product\/fpga-for-ai\/","title":{"rendered":"Proc10N"},"content":{"rendered":"

Proc10N: Compact FPGA for AI and High-Performance Embedded Systems<\/h2>\n

The Proc10N\u2122 is a compact FPGA for AI module powered by the Altera Stratix\u00ae 10 NX FPGA<\/a>. It delivers exceptional performance for AI acceleration, compute-intensive processing, and low-latency edge systems. With integrated Tensor Blocks, HBM2 memory, and high-bandwidth data interfaces, the Proc10N offers unparalleled throughput for high-speed embedded designs. Moreover, its compact form factor ensures seamless integration into advanced embedded platforms while maintaining maximum compute capability.<\/p>\n

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Performance and Memory in the Proc10N Module<\/h3>\n

Each Proc10N module integrates HBM2 memory, providing 10\u00d7 higher DRAM\/SRAM bandwidth compared to discrete DDR4 and QDR technologies. It also delivers 143 INT8 TOPS \/ FP16 TFLOPS through dedicated Tensor Blocks and offers 1,600 Gb\/s of customizable I\/O for extreme data throughput. Consequently, the Proc10N delivers industry-leading compute density at a competitive SWaP profile. Additionally, its robust hardware architecture ensures reliable operation in demanding, mission-critical environments and provides a long-term, cost-efficient solution for complex embedded systems. Therefore, it is ideal for applications requiring deep learning, real-time inference, high-bandwidth acquisition, and deterministic system behavior.<\/p>\n

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AI-Focused Processing Module with Real-Time FPGA Image Processing<\/h3>\n

The Proc10N is available as a high-performance FPGA module for AI, high-bandwidth compute, and embedded imaging systems, or as part of a complete Imaging & Vision solution with real-time FPGA preprocessing, image enhancement, and compression options.<\/p>\n

The built-in FPGA can process image data directly at the edge, close to the camera interface and before the data reaches the host system. This helps reduce bandwidth, storage, and host processing load while preserving low-latency performance for compact high-speed imaging applications.
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Optional FPGA processing includes Compression<\/a>, HDR<\/a> correction, D<\/strong>etection<\/strong>, and additional image enhancement modules.<\/p>\n

Real-Time FPGA Processing Helps Enable:<\/h4>\n