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PolarFire® FPGA Ethernet Sensor Bridge provides low-power multi-sensor bridging to NVIDIA edge AI platforms
CHANDLER, Ariz., Nov. 14, 2024 (GLOBE NEWSWIRE) -- To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology (Nasdaq: MCHP) has released its PolarFire® FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform.
PolarFire FPGAs enable multi-protocol support, and this first solution to be released as part of Microchip’s platform is compatible with MIPI® CSI-2®-based sensors and the MIPI D-PHY℠ physical layer. Future solutions will support a wide range of sensors with different interfaces, including SLVS-EC™ 2.0, 12G SDI, CoaXPress® 2.0 and JESD204B. The platform allows designers to leverage the power of the NVIDIA Holoscan ecosystem while taking advantage of the PolarFire FPGA’s power-efficient technology with low-latency communication and multi-protocol sensor support.
NVIDIA Holoscan helps streamline the development and deployment of AI and high-performance computing (HPC) applications at the edge for real-time insights. It brings into a single platform the necessary hardware and software systems for low-latency sensor streaming and network connectivity. The platform includes optimized libraries for data processing, sample AI models for jump-starting AI inference pipeline development, template applications to facilitate rapid prototyping and core microservices to run streaming, imaging and other applications.
With its ability to bridge real-time sensor data to NVIDIA Holoscan and the NVIDIA IGX and NVIDIA Jetson platforms for edge AI and robotics, the PolarFire FPGA Ethernet Sensor Bridge unlocks new edge-to-cloud applications, enables AI/ML inferencing and facilitates the adoption of AI in the medical, industrial and automotive markets.
“The Ethernet sensor bridge is based on Microchip's highly power-efficient, secure and reliable PolarFire FPGA platform,” said Bruce Weyer, vice president of Microchip’s FPGA business unit. “By combining our flexible FPGA fabric with NVIDIA's advanced AI platform and multi-protocol support, we're empowering developers to create innovative, real-time solutions that will revolutionize sensor interfaces across a wide range of powerful AI-driven edge applications.”
By utilizing the low power consumption of Microchip’s PolarFire FPGA technology, the NVIDIA Holoscan Sensor Bridge efficiently manages high-bandwidth data from diverse sensors over Ethernet, enabling real-time, high-performance edge AI processing on NVIDIA AI platforms. The power-efficient design is also conducive for small-footprint and energy- or cost-sensitive applications.