Ultra-Compact FPGA for AI

Proc10N: Compact FPGA for AI and High-Performance Embedded Systems

The Proc10N™ is a compact FPGA for AI module powered by the Altera Stratix® 10 NX FPGA. 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.

Performance and Memory in the Proc10N Module

Each Proc10N module integrates HBM2 memory, providing 10× 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.

AI-Focused Processing Module with Real-Time FPGA Image Processing

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.

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.

Optional FPGA processing includes Compression, HDR correction, Detection, and additional image enhancement modules.

Real-Time FPGA Processing Helps Enable:

• Reduced bandwidth for high-throughput image acquisition
• Low-latency processing directly in the acquisition flow
• Extended recording time through real-time compression
• Lower host processing load by offloading selected tasks to the FPGA
• Custom image pipelines using Gidel IPs or user FPGA logic

For the full list of available image processing and enhancement options, please refer to the Options tab.

Integrated Vision Architecture for Embedded FPGA Processing

Gidel’s vision architecture, implemented on the Proc10N FPGA modules, supports both the InfiniVision multi-camera vision system and the ProcFG deterministic image acquisition system. Together, they address high-bandwidth acquisition, synchronization, buffering, and scalable processing requirements in demanding vision platforms.

InfiniVision enables flexible, synchronized acquisition across large camera arrays and multi-stream configurations, while ProcFG provides a deterministic acquisition model optimized for fixed timing, guaranteed frame capture, and line-scan–oriented pipelines. This dual approach allows Proc10N module to handle multiple high-speed data sources, merge parallel sensor inputs, and maintain predictable real-time behavior under sustained load.

With high-performance FPGA resources, on-board memory, and deterministic dataflow control, the Proc10N module support stable acquisition and real-time image processing at scale. As a result, they deliver reliable and predictable performance in high-throughput, high-resolution vision systems where bandwidth density and timing control are critical.

Flexible Integration Options

The Proc10N adapts to diverse integration needs. It can operate as a standalone AI/processing engine or as part of a fully customized solution including FPGA-based image enhancement, real-time compression, multi-sensor aggregation, and advanced I/O control. As a result, the Proc10N provides exceptional flexibility and scalability for high-bandwidth vision, AI, and sensing architectures.

SDK, Development Tools, and Integration

The Proc10N is supported by Gidel’s SDK, providing intuitive GUIs and APIs for streamlined system integration. Additionally, the ProcVision Suite offers advanced FPGA programming, debugging, and validation tools. Consequently, developers can rapidly build custom dataflows, AI pipelines, and high-bandwidth processing systems while reducing development time and integration risk.

The module also benefits from Gidel’s advanced multi-port memory architecture, enabling efficient access to HBM2 resources and supporting hundreds of simultaneous operations. Furthermore, each module is supported by Gidel or customer-designed carrier boards, enabling immediate system bring-up and rapid prototyping. As a result, development cycles are shortened, reliability is improved, and time-to-market is accelerated — making the Proc10N ideal for fast-paced, mission-critical industries.

Why Choose the Proc10N?

• AI-focused FPGA module for high-performance embedded and edge systems

• Compact footprint: 97.4 × 101 mm

• HBM2 memory for high-bandwidth data movement and AI acceleration

• Advanced SDK and ProcVision Suite for rapid development and integration

• Optional real-time FPGA processing, image enhancement, and compression IPs

The Proc10N is the ideal choice when your workload requires FPGA-based AI acceleration, high-throughput data handling, and compact integration into advanced embedded or edge systems.

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