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Holoscan Sensor Bridge Solutions

NVIDIA Holoscan Sensor Bridge Solutions for AI Applications

Physical AI is driving an explosion of heterogeneous sensors — cameras, radar, lidar, and specialized instrumentation – creating a new challenge of ingesting and synchronizing massive amounts of real-time data. The bottleneck is shifting from AI compute to data movement, as GPUs depend on clean, synchronized, low-latency sensor data to make accurate decisions.

Altera® FPGAs act as the data plane for physical AI, performing sensor aggregation, protocol conversion, timestamping, pre-processing, and early fusion before data reaches the GPU. Holoscan Sensor Bridge provides the standardized sensor-over-Ethernet architecture that streams that data efficiently to AI compute platforms. As sensor count and bandwidth grow, architectures combining FPGAs, Holoscan Sensor Bridge, and GPUs will be essential for scalable, deterministic, real-time AI systems.

Why Altera FPGAs

Broad Sensor Connectivity, Simplified GPU Integration

Altera FPGAs aggregate diverse sensor interfaces, including MIPI, JESD204, HDMI, SDI, LVDS, CAN, and SPI, and connect them to NVIDIA GPUs through a standardized Ethernet and Holoscan Sensor Bridge architecture. This simplifies sensor integration while supporting a wide range of AI and edge computing applications.

Ultra-Low-Latency Data Path for Physical AI

Altera FPGAs integrate high-performance Ethernet, packetization, pre-processing, and sensor fusion directly in FPGA fabric, enabling deterministic, low-latency delivery of sensor data to GPU memory for real-time AI inference.

Scalable from Edge Sensors to High-Performance AI Systems

Supporting Ethernet connectivity from 1G to 400G and platforms ranging from NVIDIA Jetson* to DGX-class systems, Altera provides a scalable architecture for applications ranging from embedded edge AI to high-bandwidth, multi-sensor AI deployments.
100G Sensor Bridge Platform

Stratix® 10 Sensor Processing Kit Interface to the NVIDIA Holoscan Sensor Bridge

The Stratix 10 Sensor Processing Kit is a 100G Ethernet sensor interface platform powered by Altera’s Stratix 10 TX FPGA. It is designed to support real-time streaming of sensor data to GPU memory using NVIDIA Hololink IP and GPUDirect RDMA.

Request Access to Altera's Stratix 10 Sensor Bridge Example Design

Learn about the kit details, supplied by Altera partner, Terasic.
25G Sensor Bridge Development Platform

Agilex® 5 FPGA Holoscan Sensor Bridge - MIPI to 25GbE System Reference Design

This design demonstrates MIPI streaming via Holoscan Sensor Bridge IP over 25G Ethernet. It combines a 4Kp60 Multi-Sensor Camera with a new Quartus® Platform Designer component for the NVIDIA Holoscan Sensor Bridge IP, using the Agilex 5 FPGA and SoC E-Series Modular Dev. Kit (Group A Device). 

For access to the example design (coming soon), please contact your local Altera Salesperson.

Visit FPGA GitHub Site
10G Sensor Bridge Development Platform

Agilex 5 Holoscan Sensor Bridge - MIPI to 10GbE System Reference Design

This design demonstrates MIPI streaming via Holoscan Sensor Bridge IP over 10G Ethernet. It combines a 4K Multi-Sensor Camera with the Holoscan Sensor Bridge IP, using the Agilex 5 FPGA E-Series Premium Dev Kit (ES version, Production version). 

Please visit the Altera FPGA GitHub site to access the example designs:

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Heterogeneous Computing in an Edge AI Vision System

Pairing a GPU with an FPGA gives edge AI vision systems low latency, AI features, high performance, and support for many types of cameras suitable for industrial, retail, medical, and other use cases.


Gidel’s FantoVision is a family of edge AI vision frame grabber systems utilizing Altera FPGAs. Each FantoVision product integrates an NVIDIA Jetson Orin NX with an Arria® 10 FPGA, forming a heterogeneous edge AI vision system that splits responsibilities between GPU, CPU, and FPGA. The FPGA is not a passive peripheral but a smart I/O engine.

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