PER-TAIX2-A10-2280 - UP AI Core XM 2280, Heatsink with Fan

Deliverytime: 19 - 21 working days (Mo-Fr) *
246,99 EUR
Product Description

AAEON - UP AI Core XM 2280, Heatsink with Fan

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 XM 2280
  • VPU: Intel(R) Movidius(TM) Myriad(TM) X 2485
  • Amount of VPU: 2
  • Form Factor: M.2 2280 B+M key
  • Dimensions: 22 x 80 mm
  • Supported Frameworks: Caffe, TensorFlow
  • Memory: 4 GB LPDDR4
  • Thermal: Heatsink with active fan
  • 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

Downloads
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