Edge inference with RedisAI on Jetson Nano

Edge inference with RedisAI on Jetson Nano

Edge inference with RedisAI on Jetson Nano

Nvidia Jetson systems (Nano/TX2/Xavier NX/AGX Xavier) are examples of low-power devices equipped with Arm processors with AI computing capabilities for edge applications. Redis runs efficiently on Arm processors, and all versions are tested on the Arm-based Raspberry Pi platform.

The low memory footprint of Redis makes it an ideal candidate for running on small, resource limited (CPU/memory) devices. In addition, data collected by peripheral devices and sensors are received as streams and must be stored in Redis in the right data structure. Redis Streams data type is implemented to satisfy such requirement for data collection and storage, enabling Redis to handle storage and retrieval of streaming data in IoT frameworks efficiently…”

Source: community.arm.com/developer/tools-software/hpc/b/hpc-blog/posts/high-performance-edge-inference-redisai

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