7 Popular AI Hardware Platforms

#News(IoTStack) [ via IoTGroup ]

Headings…
7 Popular AI Hardware Platforms
Some Background on Computing for AI
List of popular AI Hardware:
Kendryte K210 Based Module & Development Boards

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Do you want to explore the AI (Artificial Intelligence) on the edge and looking for a suitable embedded hardware for the same?
AI algorithms takes a lot of computing power to execute and that’s the push for the need of such hardware accelerator which can solve this problem.
The list of AI hardware options listed below are a mix of complete Edge Computing board to an addon AI accelerator which could be connected to another embedded computing board over the USB.
It’s built on the Intel® Movidius™ Myriad™ X VPU which features the neural compute engine—a dedicated hardware accelerator for deep neural network inferences.
The Intel Distribution of OpenVINO™ toolkit is the default software development kit to optimize performance, integrate deep learning inference, and run deep neural networks (DNN) on Intel® Movidius™ Vision Processing Units (VPU).
 AI (opens in a new tab)” href=”https://beagleboard.org/ai” rel=”noreferrer noopener” target=”_blank”>BeagleBone® AI makes it easy to explore how artificial intelligence (AI) can be used in everyday life via the TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores supported through an optimized TIDL machine learning OpenCL API with pre-installed tools.
Optimized for the execution of signal processing and machine learning algorithms on intelligent edge devices
Optimized for the execution of signal processing and machine learning algorithms on intelligent edge devices Autonomous operation using a battery or energy harvesting
Sipeed Module: Using Kendryte’s AI chip K210 as the core unit, K210 is fully pin-out, with strong performance, small size (25.4 * 25.4 mm), low price (<$8), improve hardware design efficiency, reduce hardware design difficulty, and increase the anti-interference ability with shielded case
Dual-core 64-bit processor with hardware floating-point operation, up to 800MHz frequency (the highest supported frequency is based on the development board design)
The Grove AI HAT for Edge Computing is built around Sipeed MAix M1 AI MODULE with Kendryte K210 processor inside

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