PER-TAICX-A10-001 - UP AI Core X mPCIe, 30 mm Heatsink

AAEON - UP AI Core X mPCIe, 30 mm Heatsink

UP AI CORE X is a complete product line of neural network accelerators for edge devices. Whether the automation you are creating is for identifying and tallying items in a shopping cart, alerting airport security to unattended luggage, or monitoring traffic congestion ahead of an autonomous vehicle, the AI CORE X lets you embed the real-time computational power you need directly where you need it.

Step Out of the Rain

Cloud computing is great for many things, but not for real-time edge applications with tight latency, bandwidth, security, and reliability constraints. Sometimes, the only solution is to co-locate the processing of data with the collection of data. This means no cloud computing. Thankfully, the skies are clearing. With up to four trillion operations per second (TOPS) and a Neural Compute Engine capable of delivering up to one TOPS, all with just a few watts of power, AI CORE X is perfect for doing the heavy lifting in any edge application.

Neural Compute Engine

The AI CORE X is powered by the recently released Intel(R) Movidius(TM) Myriad(TM) X, a third-generation vision processing unit (VPU) that is the first in its class to include a Neural Compute Engine – a dedicated hardware accelerator for deep neural networks, trainable with industry-standard tools.

Easily Embeddable

AI CORE X is available with one or two Myriad X chips in a variety of form factors. With your choice of MiniCard/mPCIe, M.2 2230, M.2 2242 or M.2 2280. Embedding deep learning capabilities has never been easier.

It is compatible with UP Squared boards and any SBC with a miniPCIe interface.

• Model: UP AI Core X
• VPU: Intel(R) Movidius(TM) Myriad(TM) X 2485
• Amount of VPU: 1
• Form Factor: mPCIe
• Dimensions: 30 x 51 mm
• Supported Frameworks: Caffe, TensorFlow
• Memory: 4 GB LPDDR4
• Thermal: Fanless heatsink
• System Requirements: x86_64 computer running Ubuntu 16.04, 1 GB memory, 4 GB free storage, vacant expansion slot
• Software tool: NCS SDK, OpenVINO toolkit