The NVIDIA Clara AGX™ developer kit delivers real-time AI and imaging for medical devices. By combining low-powered, NVIDIA Xavier SOC (system on a chip) and RTX GPUs with the NVIDIA Clara AGX SDK and the NVIDIA EGX stack, it’s easy to securely provision and remotely manage fleets of distributed medical instruments.
The NVIDIA Clara AGX™ developer kit is an embedded AI computer and software development framework for medical devices that need the ability to perform real-time AI and advanced image, video, and signal processing. Powered by ARM-based NVIDIA Xavier™ along with RTX GPUs and running the NVIDIA EGX software stack, Clara AGX securely manages and orchestrates AI application deployments to fleets of medical devices or edge nodes.
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We use a special library called adafruit_blinka (named after Blinka, the CircuitPython mascot) to provide the layer that translates the CircuitPython hardware API to whatever library the Linux board provides.
For example, on Raspberry Pi we use the python RPi.GPIO library. For any I2C interfacing we'll use ioctl messages to the /dev/i2c device. For SPI we'll use the spidev python library, etc. These details don't matter so much because they all happen underneath the adafruit_blinka layer.