Innodisk AI Vision Acceleration With VPU-Equipped AI Cards Including Intel Movidius Myriad X Vision Processing Unit

EGPA-I201 M.2 2280 with two Myriad X

While many aspects of AI are computing and resource-intensive, others rely on small and swift devices that can quickly deliver results.

Innodisk Corp.‘s AI accelerator cards provide performance gains for AI inference on the edge.

Powered by Intel Movidius VPU
The company’s AI accelerator cards use Intel Corp.‘s third-gen Movidius Myriad X Vision Processing Unit (VPU), which is designed for deep neural network inference. As such, the VPU enhances all vision inference applications such as facial recognition, vehicle registration plate recognition, and many other machine vision applications. The results are staggering, enabling an up to a 30-fold boost in performance depending on the edge device’s CPU.

Improving machine vision on edge
Embedded devices typically found on the edge are ill-equipped for image recognition. The CPU is normally chosen for its low power consumption and thermal efficiency, making it particularly unsuited for AI inference. Much like a video card takes the load off the CPU for graphics rendering in PCs, the VPU assists edge devices in picking out objects and patterns in images and videos. Innodisk’s AI accelerator cards achieve this while leaving a small thermal footprint and maintaining low power consumption.

EMPA-I101 mPCIe with one Myriad X

Integrating AI into IoT applications
The firm’s AI accelerator cards have no minimum order quantity and come in two form factors; mPCIe with one Myriad X (EMPA-I101) and M.2 2280 with two Myriad X (EGPA-I201) inside. Windows and Linux are supported, and deep learning frameworks such as Caffe, TensorFlow, Apache MXNet, and Open Neural Network Exchange (ONNX) are also supported through the Intel OpenVINO toolkit. The AI accelerator cards are a step toward the realization of AIoT and serve as a new cornerstone in the company and its partners’ overall AI architecture.

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